idx stringlengths 16 54 | source stringclasses 2
values | skill stringclasses 3
values | frequency stringclasses 6
values | history_values stringlengths 119 5.11k | history_start stringclasses 47
values | history_end stringlengths 7 19 | future_values stringlengths 53 1.68k | future_start stringlengths 7 19 | future_end stringlengths 7 19 | entry_sep stringclasses 1
value | roi stringlengths 0 297 | pred_length int64 15 240 | system_prompt stringclasses 1
value | user_instruct stringlengths 182 237 | context_info stringlengths 70 1.49k | prompt stringlengths 505 5.76k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
future_event_template_GYM/template_idx/template0/item0 | GIFT synthesize | future | M | 9607,9577,9487,9706,9627,9372,9355,9105,8919,8794,8774,9121,9453,9219,9859,9787,9705,9062,9157,8968,8791,9085,8846,9264,9489,9470,9676,9658,9504,9452,9243,9037,8891,8824,9270,9108,9156,9546,9677,9684,9594,9457,9312,8907,8922,8939,8980,9081,9480,9458,9680,9648,9568,9363,9000,8968,8781,8772,8943,9180,9384,9417,9550,9853,... | 2010-01 | 2020-08 | 8804,8790,8954,9239,9243,9683,9935,9800,9674,9438,9173,8902,8874,8675,9198,9065,9334,9741,9543,9647,9713,9391,9161,8940,8811,8917,9165,9187,9296,9574,9724,9779,9858,9374,9331,8946,8721,8889,8808,9270,9330,9767,9876,9729,9786,9400,9344,8972,8656,9029,9198,8928,9557,9640,9708,9568,9546,9494,9171,9078,8799,9087,8942,9166,... | 2020-09 | 2031-04 | , | 104,105,106 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this retail store in the next 128 months, from 2020-09 to 2031-04. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular retail store. The data was recorded from 2010-01 to 2020-08 with a monthly (M) recording frequency. On the months of 2029-05 to 2029-07, the store will run a big sales off event, during this time, the sales is expected to increase by 47 percent over normal periods, respec... | <history>9607,9577,9487,9706,9627,9372,9355,9105,8919,8794,8774,9121,9453,9219,9859,9787,9705,9062,9157,8968,8791,9085,8846,9264,9489,9470,9676,9658,9504,9452,9243,9037,8891,8824,9270,9108,9156,9546,9677,9684,9594,9457,9312,8907,8922,8939,8980,9081,9480,9458,9680,9648,9568,9363,9000,8968,8781,8772,8943,9180,9384,9417,9... |
future_event_template_GYM/template_idx/template1/item0 | GIFT synthesize | future | M | 9847,10518,10768,11079,10329,10142,9395,8885,8756,8544,9010,9443,10176,10599,10970,10684,10608,9965,9499,8800,8812,8560,9120,9429,9918,10589,10892,10743,10450,10134,9589,8956,8709,8756,8787,9529,10152,10550,10982,10662,10473,10089,9468,8846,8737,8549,8980,9267,10095,10490,10819,10766,10564,10237,9538,8968,8738,8664,900... | 2010-01 | 2020-08 | 8743,8762,8873,9687,10043,10616,10907,10699,10820,10174,9510,8800,8643,8594,9150,9684,9972,10586,10931,10906,10526,10096,9583,9065,8619,8718,8896,9631,9744,10685,10856,10746,10620,10016,9512,8811,8816,8743,9004,9444,10253,10797,10765,10797,10692,10090,9367,8892,10122,10066,10649,11062,11519,10632,10986,10925,10558,9885... | 2020-09 | 2031-04 | , | 48,49,50,51,52 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this retail store in the next 128 months, from 2020-09 to 2031-04. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular retail store. The data was recorded from 2010-01 to 2020-08 with a monthly (M) recording frequency. On the months of 2024-09 to 2025-01, the store will run a big sales off event, during this time, the sales is expected to increase by 17 percent over normal periods, respec... | <history>9847,10518,10768,11079,10329,10142,9395,8885,8756,8544,9010,9443,10176,10599,10970,10684,10608,9965,9499,8800,8812,8560,9120,9429,9918,10589,10892,10743,10450,10134,9589,8956,8709,8756,8787,9529,10152,10550,10982,10662,10473,10089,9468,8846,8737,8549,8980,9267,10095,10490,10819,10766,10564,10237,9538,8968,8738... |
future_event_template_GYM/template_idx/template2/item0 | GIFT synthesize | future | M | 10762,10995,11557,11253,11231,11306,10596,10138,9943,10019,10211,10554,10813,11262,11300,11268,10932,11135,10354,10375,10294,10342,10052,10123,10842,11018,11350,11478,10886,10903,10491,10298,9754,10459,10168,10387,10757,11381,11248,11275,11151,10625,10630,10141,9731,9887,10418,10232,10779,11403,11222,11549,11295,11227,... | 2010-01 | 2041-12 | 10449,10808,11541,11033,11073,10453,10531,10174,10078,10063,10105,9725,10497,11364,10930,11286,10957,11047,10563,9666,10067,9869,9967,10169,11259,10921,11556,10960,10824,10581,10432,10310,9661,9991,10166,10091,10643,11563,11132,11363,11195,13989,13618,12865,12200,12565,9927,10680,10558,11219,11205,11294,11018,10928,103... | 2042-01 | 2052-08 | , | 41,42,43,44,45 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this retail store in the next 128 months, from 2042-01 to 2052-08. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular retail store. The data was recorded from 2010-01 to 2041-12 with a monthly (M) recording frequency. On the months of 2045-06 to 2045-10, the store will run a big sales off event, during this time, the sales is expected to increase by 27 percent over normal periods, respec... | <history>10762,10995,11557,11253,11231,11306,10596,10138,9943,10019,10211,10554,10813,11262,11300,11268,10932,11135,10354,10375,10294,10342,10052,10123,10842,11018,11350,11478,10886,10903,10491,10298,9754,10459,10168,10387,10757,11381,11248,11275,11151,10625,10630,10141,9731,9887,10418,10232,10779,11403,11222,11549,112... |
future_event_template_GYM/template_idx/template3/item0 | GIFT synthesize | future | M | 9346,9362,9843,9804,9835,9780,10008,9907,9891,10369,9937,10551,9220,9488,9498,9703,9997,10136,9797,9874,10132,10263,10232,10417,9804,9342,9375,9866,10076,10237,10208,9833,10161,10213,10028,10337,9532,9499,9653,9696,9819,10017,9896,9997,10482,10203,10324,10508,9676,9301,9578,9522,9551,9661,9953,9868,10442,10390,10151,10... | 2010-01 | 2041-12 | 9432,9686,9711,9672,9706,9826,9746,9736,9938,10369,10101,10401,9748,9364,9722,9321,9826,9726,9741,9904,10421,10284,10400,10215,9351,9357,9814,9773,9653,10018,9951,10017,9843,9944,10340,10455,9297,9684,9665,9871,9872,9785,9959,9663,10158,9941,10114,10099,9306,9680,9777,9526,9881,9805,10087,9948,10038,10433,10348,10220,9... | 2042-01 | 2052-08 | , | 102,103,104 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this retail store in the next 128 months, from 2042-01 to 2052-08. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular retail store. The data was recorded from 2010-01 to 2041-12 with a monthly (M) recording frequency. On the months of 2050-07 to 2050-09, the store will run a big sales off event, during this time, the sales is expected to increase by 38 percent over normal periods, respec... | <history>9346,9362,9843,9804,9835,9780,10008,9907,9891,10369,9937,10551,9220,9488,9498,9703,9997,10136,9797,9874,10132,10263,10232,10417,9804,9342,9375,9866,10076,10237,10208,9833,10161,10213,10028,10337,9532,9499,9653,9696,9819,10017,9896,9997,10482,10203,10324,10508,9676,9301,9578,9522,9551,9661,9953,9868,10442,10390... |
future_event_template_GYM/template_idx/template4/item0 | GIFT synthesize | future | M | 10460,11060,11197,11479,10978,10642,10074,9408,9183,9137,9541,9956,10769,11194,11488,11473,11213,10542,10050,9555,9187,9076,9458,9914,10734,11045,11534,11155,11003,10697,9801,9531,9206,9011,9697,9941,10598,11053,11392,11335,11034,10700,10129,9508,9192,9272,9402,10054,10467,11019,11507,11294,11195,10345,9898,9619,9186,9... | 2010-01 | 2084-08 | 9401,9507,9584,10595,10827,11402,11931,11821,11503,10923,10238,9769,9682,9422,9605,10200,10959,11236,11551,11770,11287,11223,10472,9716,9529,9529,9695,10043,10871,11223,11716,11814,11408,10661,10353,9735,9587,9462,9728,10214,10808,11345,11735,11653,11438,11142,10282,10127,9419,9537,9806,10374,10703,11328,11748,11818,11... | 2084-09 | 2095-04 | , | 113,114,115 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this retail store in the next 128 months, from 2084-09 to 2095-04. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular retail store. The data was recorded from 2010-01 to 2084-08 with a monthly (M) recording frequency. On the months of 2094-02 to 2094-04, the store will run a big sales off event, during this time, the sales is expected to increase by 5 percent over normal periods, respect... | <history>10460,11060,11197,11479,10978,10642,10074,9408,9183,9137,9541,9956,10769,11194,11488,11473,11213,10542,10050,9555,9187,9076,9458,9914,10734,11045,11534,11155,11003,10697,9801,9531,9206,9011,9697,9941,10598,11053,11392,11335,11034,10700,10129,9508,9192,9272,9402,10054,10467,11019,11507,11294,11195,10345,9898,96... |
future_event_template_GYM/template_idx/template0/item1 | GIFT synthesize | future | D | 9823,10373,10275,9951,10366,10214,10580,9706,9728,10100,10540,9931,10260,10449,9988,9644,9826,9653,10421,10313,10415,9618,10115,9914,9848,9891,9979,10285,9872,10166,9687,10571,10587,9970,10444,9973,10100,10484,10020,10165,10274,10449,10347,10179,9947,10156,10064,10508,10444,9946,10253,9809,9870,10193,10420,10247,10266,... | 2024-01-01 | 2024-05-07 | 10148,9810,10688,10557,10371,9930,10410,10278,10369,10378,10283,10358,9859,9797,9844,10119,10143,10878,10878,9645,9709,10136,10256,10480,10510,10849,9778,9795,9801,10310,10579,10525,10366,9741,10342,10013,9951,10500,10397,10065,10001,9758,9982,10045,10200,10361,10768,9917,9700,9963,10060,9996,10210,10712,10008,9730,100... | 2024-05-08 | 2024-09-12 | , | 98,99,100,101,102,103,104,105,106,108,109,110,111,112,113,114 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the future 128 values, from 2024-05-08 to 2024-09-12. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the traffic at a popular tourist attraction. The data was recorded from 2024-01-01 to 2024-05-07 with a daily (D) recording frequency. The owner decided to run two promotion events from 2024-08-14 to 2024-08-22 and 2024-08-24 to 2024-08-30, during which the traffic is expected to increase by 13... | <history>9823,10373,10275,9951,10366,10214,10580,9706,9728,10100,10540,9931,10260,10449,9988,9644,9826,9653,10421,10313,10415,9618,10115,9914,9848,9891,9979,10285,9872,10166,9687,10571,10587,9970,10444,9973,10100,10484,10020,10165,10274,10449,10347,10179,9947,10156,10064,10508,10444,9946,10253,9809,9870,10193,10420,102... |
future_event_template_GYM/template_idx/template1/item1 | GIFT synthesize | future | D | 10641,10839,10931,10710,10706,10443,10463,10822,11041,10825,10793,10677,10445,10576,10725,10934,11169,10692,10510,10580,10500,10948,10848,10903,10708,10638,10357,10454,10769,11148,11003,10725,10652,10360,10481,10928,10916,11029,10735,10487,10461,10591,10672,11122,10949,10763,10440,10680,10548,10839,11004,10958,10781,10... | 2024-01-01 | 2024-05-07 | 10975,10639,10654,10321,10546,10696,10980,10966,10494,10666,10377,10453,11683,11815,11765,11613,11321,10245,10336,10678,11027,10997,10694,10686,10345,10573,10626,11073,10941,10683,10503,10331,10471,10783,10783,10835,10749,10372,10358,10498,10719,10868,10981,10744,10545,10470,10680,10801,10943,11020,10780,10452,10483,10... | 2024-05-08 | 2024-09-12 | , | 12,13,14,15,16,70,71,72,73,74,75,76,77,78 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the future 128 values, from 2024-05-08 to 2024-09-12. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the traffic at a popular tourist attraction. The data was recorded from 2024-01-01 to 2024-05-07 with a daily (D) recording frequency. The owner decided to run two promotion events from 2024-07-17 to 2024-07-25 and 2024-05-20 to 2024-05-24, during which the traffic is expected to increase by 18... | <history>10641,10839,10931,10710,10706,10443,10463,10822,11041,10825,10793,10677,10445,10576,10725,10934,11169,10692,10510,10580,10500,10948,10848,10903,10708,10638,10357,10454,10769,11148,11003,10725,10652,10360,10481,10928,10916,11029,10735,10487,10461,10591,10672,11122,10949,10763,10440,10680,10548,10839,11004,10958... |
future_event_template_GYM/template_idx/template2/item1 | GIFT synthesize | future | D | 9371,9712,10143,9521,8674,8833,8952,9233,10140,9996,9927,8882,8742,8713,9456,10247,10122,9529,8666,8610,8685,9520,10142,9903,9356,8802,8954,8697,9569,9994,9847,9423,8897,8608,8731,9860,9915,10250,9708,8947,8637,8812,9413,10185,9917,9509,8692,8594,8846,9409,9921,10341,9834,8843,8691,9011,9196,10354,9900,9607,8778,8537,8... | 2024-01-01 | 2025-01-18 | 8564,9198,9740,10123,9285,8682,8668,8929,9396,10137,10217,9413,8706,8624,9011,9788,10002,9873,9543,8980,8760,9148,9757,10002,10152,9654,8964,8518,9293,9727,9677,9988,10151,8954,8621,9222,9721,9885,10218,9836,9137,8949,8835,9424,9753,9980,9854,9133,8877,8697,8883,9667,9663,9534,8980,8442,9316,9594,9823,10314,9659,8727,8... | 2025-01-19 | 2025-05-26 | , | 97,98,99,100,101,102,103,113,114,115,116,117,118,119,120,121,122 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the future 128 values, from 2025-01-19 to 2025-05-26. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the traffic at a popular tourist attraction. The data was recorded from 2024-01-01 to 2025-01-18 with a daily (D) recording frequency. The owner decided to run two promotion events from 2025-04-26 to 2025-05-02 and 2025-05-12 to 2025-05-21, during which the traffic is expected to increase by 22... | <history>9371,9712,10143,9521,8674,8833,8952,9233,10140,9996,9927,8882,8742,8713,9456,10247,10122,9529,8666,8610,8685,9520,10142,9903,9356,8802,8954,8697,9569,9994,9847,9423,8897,8608,8731,9860,9915,10250,9708,8947,8637,8812,9413,10185,9917,9509,8692,8594,8846,9409,9921,10341,9834,8843,8691,9011,9196,10354,9900,9607,87... |
future_event_template_GYM/template_idx/template3/item1 | GIFT synthesize | future | D | 10540,10445,10670,10749,10639,11111,10872,10401,10472,10778,10606,10858,10823,10788,10535,10535,10694,10713,10812,10799,10907,10477,10591,10549,10726,10853,10828,11022,10456,10575,10483,10754,10620,10795,10969,10536,10633,10556,10673,10647,10797,10847,10577,10442,10745,10717,10822,10892,11034,10383,10616,10728,10792,10... | 2024-01-01 | 2025-01-18 | 11045,10634,10880,10659,10844,10855,11063,11037,10685,10593,10957,11037,10772,10959,11021,10591,10620,10889,10914,10988,10931,11085,10735,10852,13351,13392,13486,13714,13662,13309,13213,13482,13417,13587,10981,11225,10789,10744,10944,10810,10957,11070,11138,10814,10780,10880,10892,10912,10847,11063,10513,10708,10877,10... | 2025-01-19 | 2025-05-26 | , | 24,25,26,27,28,29,30,31,32,33,85,86,87,88,89,90,91,92,93,94,95 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the future 128 values, from 2025-01-19 to 2025-05-26. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the traffic at a popular tourist attraction. The data was recorded from 2024-01-01 to 2025-01-18 with a daily (D) recording frequency. The owner decided to run two promotion events from 2025-02-12 to 2025-02-21 and 2025-04-14 to 2025-04-24, during which the traffic is expected to increase by 26... | <history>10540,10445,10670,10749,10639,11111,10872,10401,10472,10778,10606,10858,10823,10788,10535,10535,10694,10713,10812,10799,10907,10477,10591,10549,10726,10853,10828,11022,10456,10575,10483,10754,10620,10795,10969,10536,10633,10556,10673,10647,10797,10847,10577,10442,10745,10717,10822,10892,11034,10383,10616,10728... |
future_event_template_GYM/template_idx/template4/item1 | GIFT synthesize | future | D | 11056,11339,11048,11102,10051,9630,9829,9953,11385,11134,11319,9930,10006,9722,9793,11189,11132,11119,9856,10052,10104,9890,11363,11329,11134,9816,9843,9684,9828,11253,11039,11132,9929,9754,9798,9676,11116,11123,11271,9874,9520,9933,9951,11104,11138,11226,9704,9642,9904,10065,11141,11053,11213,9930,9890,9762,9872,11003... | 2024-01-01 | 2026-06-14 | 9694,10902,10840,10963,9485,9493,9674,9506,10865,10982,10932,9528,9572,9440,11043,10846,10793,10873,11631,11803,11769,13069,13123,13138,13305,11744,11956,11986,11769,13114,10986,10855,9495,9637,9676,9329,10879,11062,10732,9628,9443,9508,9704,10888,10857,10951,9551,9691,9570,9598,10846,10753,11033,9601,9442,9405,9548,10... | 2026-06-15 | 2026-10-20 | , | 18,19,20,21,22,23,24,25,26,27,28,29,102,103,104,105,106,107,108,109 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the future 128 values, from 2026-06-15 to 2026-10-20. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the traffic at a popular tourist attraction. The data was recorded from 2024-01-01 to 2026-06-14 with a daily (D) recording frequency. The owner decided to run two promotion events from 2026-09-25 to 2026-10-02 and 2026-07-03 to 2026-07-14, during which the traffic is expected to increase by 29... | <history>11056,11339,11048,11102,10051,9630,9829,9953,11385,11134,11319,9930,10006,9722,9793,11189,11132,11119,9856,10052,10104,9890,11363,11329,11134,9816,9843,9684,9828,11253,11039,11132,9929,9754,9798,9676,11116,11123,11271,9874,9520,9933,9951,11104,11138,11226,9704,9642,9904,10065,11141,11053,11213,9930,9890,9762,9... |
future_event_template_GYM/template_idx/template0/item2 | GIFT synthesize | future | H | 48,40,55,51,52,50,56,44,48,52,51,42,48,22,21,22,21,24,23,19,20,15,18,14,24,42,51,51,50,50,50,44,54,48,49,45,45,21,18,27,18,23,22,16,28,11,16,16,18,47,61,48,53,49,51,53,61,44,60,51,50,18,20,22,13,17,24,17,16,18,16,24,20,50,42,59,47,54,49,46,49,47,54,50,52,23,15,26,18,24,22,24,13,22,23,22,21,52,49,46,48,54,53,50,48,48,49... | 2024-01-01 00:00:00 | 2024-01-06 07:00:00 | 50,45,55,49,18,22,21,24,19,18,22,24,17,22,25,14,25,47,56,53,52,47,48,48,51,46,52,48,50,15,20,17,25,18,21,19,13,18,16,22,30,48,54,63,48,49,51,53,52,47,46,43,18,14,14,23,22,16,20,19,22,19,21,28,21,51,48,50,45,49,55,45,48,52,44,100,100,100,100,100,100,100,100,100,100,100,100,100,22,47,48,49,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0... | 2024-01-06 08:00:00 | 2024-01-11 15:00:00 | , | 75,76,77,78,79,80,81,82,83,84,85,86,87,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the CPU usage of the data center in the next 128 hours, from 2024-01-06 08:00:00 to 2024-01-11 15:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the CPU usage of a data center. The data was recorded from 2024-01-01 00:00:00 to 2024-01-06 07:00:00 with a hour (H) recording frequency. During the period of 2024-01-09 11:00:00 to 2024-01-09 23:00:00, there is a scheduled stressed test, during which the CPU usage is expected to be maximum. F... | <history>48,40,55,51,52,50,56,44,48,52,51,42,48,22,21,22,21,24,23,19,20,15,18,14,24,42,51,51,50,50,50,44,54,48,49,45,45,21,18,27,18,23,22,16,28,11,16,16,18,47,61,48,53,49,51,53,61,44,60,51,50,18,20,22,13,17,24,17,16,18,16,24,20,50,42,59,47,54,49,46,49,47,54,50,52,23,15,26,18,24,22,24,13,22,23,22,21,52,49,46,48,54,53,50... |
future_event_template_GYM/template_idx/template1/item2 | GIFT synthesize | future | H | 41,38,47,48,54,42,50,47,48,42,34,35,27,23,22,20,21,28,20,16,24,26,24,44,36,43,43,45,49,50,51,48,47,46,38,34,32,26,20,23,23,14,22,21,23,27,29,28,36,44,46,47,48,47,53,46,40,46,40,34,36,28,27,25,18,17,28,25,18,27,26,37,39,42,49,47,47,50,56,51,54,41,41,45,29,21,22,22,19,21,11,25,25,26,38,40,42,38,46,50,48,51,52,48,53,39,45... | 2024-01-01 00:00:00 | 2024-01-06 07:00:00 | 45,35,36,31,34,25,26,23,18,22,15,22,21,21,32,37,44,37,43,57,53,51,52,47,41,42,36,34,26,31,27,22,26,20,25,18,26,26,34,40,38,43,60,51,48,50,39,44,54,49,42,37,32,28,22,20,22,17,22,24,23,23,28,42,37,44,45,49,48,56,49,52,45,45,30,39,35,26,21,24,23,17,30,19,19,21,32,35,38,47,42,51,51,50,50,47,46,50,43,29,34,21,18,24,17,18,12... | 2024-01-06 08:00:00 | 2024-01-11 15:00:00 | , | 112,113,114,115,116,117,118,119,120,121,122,123,125,126,127 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the CPU usage of the data center in the next 128 hours, from 2024-01-06 08:00:00 to 2024-01-11 15:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the CPU usage of a data center. The data was recorded from 2024-01-01 00:00:00 to 2024-01-06 07:00:00 with a hour (H) recording frequency. During the period of 2024-01-11 00:00:00 to 2024-01-11 11:00:00, there is a scheduled stressed test, during which the CPU usage is expected to be maximum. F... | <history>41,38,47,48,54,42,50,47,48,42,34,35,27,23,22,20,21,28,20,16,24,26,24,44,36,43,43,45,49,50,51,48,47,46,38,34,32,26,20,23,23,14,22,21,23,27,29,28,36,44,46,47,48,47,53,46,40,46,40,34,36,28,27,25,18,17,28,25,18,27,26,37,39,42,49,47,47,50,56,51,54,41,41,45,29,21,22,22,19,21,11,25,25,26,38,40,42,38,46,50,48,51,52,48... |
future_event_template_GYM/template_idx/template2/item2 | GIFT synthesize | future | H | 44,45,43,57,50,52,52,45,44,49,43,35,32,33,18,20,25,18,20,25,30,27,33,32,39,45,42,55,54,56,55,51,45,42,49,37,32,35,22,22,12,20,23,33,22,27,30,34,34,41,37,45,48,50,53,57,51,50,38,35,30,22,33,15,20,21,26,22,28,28,35,37,40,36,49,52,42,54,47,42,46,45,26,36,36,29,21,26,24,20,16,25,22,27,24,33,37,46,50,42,45,48,47,48,42,44,32... | 2024-01-01 00:00:00 | 2024-01-16 23:00:00 | 43,43,43,43,45,45,50,45,45,42,40,32,33,30,20,24,21,17,20,18,22,26,29,32,43,45,49,45,49,53,52,45,46,44,35,46,37,26,32,22,14,23,18,21,22,29,30,29,43,48,47,49,47,45,54,50,47,41,43,36,30,31,30,22,12,19,17,28,23,21,35,39,38,39,45,48,45,52,51,50,55,47,35,35,30,38,28,20,17,17,18,19,100,100,100,100,100,100,100,100,100,100,55,0... | 2024-01-17 00:00:00 | 2024-01-22 07:00:00 | , | 92,93,94,95,96,97,98,99,100,101,103,104,105,106,107,108,109,110,111,112,113,114,115 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the CPU usage of the data center in the next 128 hours, from 2024-01-17 00:00:00 to 2024-01-22 07:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the CPU usage of a data center. The data was recorded from 2024-01-01 00:00:00 to 2024-01-16 23:00:00 with a hour (H) recording frequency. During the period of 2024-01-20 20:00:00 to 2024-01-21 05:00:00, there is a scheduled stressed test, during which the CPU usage is expected to be maximum. F... | <history>44,45,43,57,50,52,52,45,44,49,43,35,32,33,18,20,25,18,20,25,30,27,33,32,39,45,42,55,54,56,55,51,45,42,49,37,32,35,22,22,12,20,23,33,22,27,30,34,34,41,37,45,48,50,53,57,51,50,38,35,30,22,33,15,20,21,26,22,28,28,35,37,40,36,49,52,42,54,47,42,46,45,26,36,36,29,21,26,24,20,16,25,22,27,24,33,37,46,50,42,45,48,47,48... |
future_event_template_GYM/template_idx/template3/item2 | GIFT synthesize | future | H | 45,41,48,47,52,46,45,53,45,40,45,26,30,24,29,21,18,14,20,18,24,25,27,33,41,40,42,50,48,48,48,45,48,45,38,38,32,27,18,16,15,20,23,24,24,23,30,36,39,37,47,50,50,57,49,50,49,36,43,40,39,24,20,14,21,22,18,20,25,24,35,31,36,50,42,50,55,50,50,46,49,44,41,37,28,32,24,17,20,20,21,17,14,31,29,38,41,48,46,48,52,47,55,50,42,39,45... | 2024-01-01 00:00:00 | 2024-01-16 23:00:00 | 34,42,43,45,46,52,55,51,45,45,43,36,20,27,25,22,14,22,17,20,22,26,32,36,32,43,42,45,47,40,51,50,41,39,44,37,35,20,25,21,23,25,22,23,30,24,32,41,38,40,100,100,100,100,100,100,100,100,100,100,100,100,23,26,19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,51,41,37,40,38,27,30,25,19,24,29,18,22,27,23,33,34,36,45,45,50,53,58,56,45,43,48,43,3... | 2024-01-17 00:00:00 | 2024-01-22 07:00:00 | , | 50,51,52,53,54,55,56,57,58,59,60,61,65,66,67,68,69,70,71,72,73,74,75,76,77,78 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the CPU usage of the data center in the next 128 hours, from 2024-01-17 00:00:00 to 2024-01-22 07:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the CPU usage of a data center. The data was recorded from 2024-01-01 00:00:00 to 2024-01-16 23:00:00 with a hour (H) recording frequency. During the period of 2024-01-19 02:00:00 to 2024-01-19 13:00:00, there is a scheduled stressed test, during which the CPU usage is expected to be maximum. F... | <history>45,41,48,47,52,46,45,53,45,40,45,26,30,24,29,21,18,14,20,18,24,25,27,33,41,40,42,50,48,48,48,45,48,45,38,38,32,27,18,16,15,20,23,24,24,23,30,36,39,37,47,50,50,57,49,50,49,36,43,40,39,24,20,14,21,22,18,20,25,24,35,31,36,50,42,50,55,50,50,46,49,44,41,37,28,32,24,17,20,20,21,17,14,31,29,38,41,48,46,48,52,47,55,50... |
future_event_template_GYM/template_idx/template4/item2 | GIFT synthesize | future | H | 41,48,48,47,43,54,49,51,39,44,41,33,34,27,23,19,16,19,17,21,31,26,30,32,37,42,41,36,53,51,45,45,45,41,38,31,39,28,28,21,22,22,15,20,24,23,30,39,39,41,47,46,44,51,44,52,51,47,30,35,29,30,17,20,15,22,15,20,17,34,28,39,39,46,41,49,51,50,48,50,44,47,39,34,31,30,21,14,20,19,22,22,22,28,32,37,39,46,44,52,47,53,43,50,41,43,35... | 2024-01-01 00:00:00 | 2024-02-07 07:00:00 | 50,37,100,100,100,100,100,100,100,100,100,100,100,100,31,40,44,42,0,0,0,0,0,0,0,0,0,35,30,33,19,13,17,17,19,14,22,27,29,34,44,42,48,54,53,51,47,53,48,43,38,37,33,30,19,28,16,19,28,20,21,27,31,35,36,41,51,53,53,54,51,52,41,41,40,28,31,30,22,22,18,19,13,16,31,32,37,35,35,50,47,46,49,50,52,49,50,37,40,34,28,26,28,26,16,13... | 2024-02-07 08:00:00 | 2024-02-12 15:00:00 | , | 2,3,4,5,6,7,8,9,10,11,12,13,18,19,20,21,22,23,24,25,26 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the CPU usage of the data center in the next 128 hours, from 2024-02-07 08:00:00 to 2024-02-12 15:00:00. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the CPU usage of a data center. The data was recorded from 2024-01-01 00:00:00 to 2024-02-07 07:00:00 with a hour (H) recording frequency. During the period of 2024-02-07 10:00:00 to 2024-02-07 21:00:00, there is a scheduled stressed test, during which the CPU usage is expected to be maximum. F... | <history>41,48,48,47,43,54,49,51,39,44,41,33,34,27,23,19,16,19,17,21,31,26,30,32,37,42,41,36,53,51,45,45,45,41,38,31,39,28,28,21,22,22,15,20,24,23,30,39,39,41,47,46,44,51,44,52,51,47,30,35,29,30,17,20,15,22,15,20,17,34,28,39,39,46,41,49,51,50,48,50,44,47,39,34,31,30,21,14,20,19,22,22,22,28,32,37,39,46,44,52,47,53,43,50... |
future_event_template_GYM/template_idx/template0/item3 | GIFT synthesize | future | D | 10661,10679,10764,10504,10380,10019,10223,10371,10775,10554,10319,10413,10078,10196,10591,10824,10571,10284,10156,10015,10065,10509,10818,10501,10395,10296,10306,9979,10417,10750,10594,10371,10160,10088,10234,10505,10550,10635,10800,10096,10415,10216,10706,10802,10803,10465,10169,10322,10127,10242,10699,10583,10382,104... | 2024-01-01 | 2024-05-07 | 10699,10660,10029,10127,10367,10373,10787,11353,11033,10895,11006,10975,11256,11427,11474,11229,10866,10906,10764,11460,10769,10597,10486,10071,9873,10305,10088,10539,10739,10503,10170,10180,10380,10486,10840,10494,10238,10497,10027,9995,10637,10586,10486,10487,10272,9783,10077,10383,10576,10543,10728,10148,10151,10255... | 2024-05-08 | 2024-09-12 | , | 7,8,9,10,11,12,13,14,15,16,17,18,19 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the number of transactions at this branch in the next 128 days, from 2024-05-08 to 2024-09-12. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the number of internet banking transactions at a bank branch in a city. The data was recorded from 2024-01-01 to 2024-05-07 with a daily (D) recording frequency. From 2024-05-15 to 2024-05-27, there is a popular event in the city and there will be many tourists arriving. Experts expect that the... | <history>10661,10679,10764,10504,10380,10019,10223,10371,10775,10554,10319,10413,10078,10196,10591,10824,10571,10284,10156,10015,10065,10509,10818,10501,10395,10296,10306,9979,10417,10750,10594,10371,10160,10088,10234,10505,10550,10635,10800,10096,10415,10216,10706,10802,10803,10465,10169,10322,10127,10242,10699,10583,... |
future_event_template_GYM/template_idx/template1/item3 | GIFT synthesize | future | D | 10334,10409,10570,10746,10989,11270,11281,10295,10356,10508,10718,11146,11087,11346,10167,10362,10503,10995,10915,11265,11251,10219,10445,10481,10687,10952,11172,11240,10271,10445,10642,10895,10900,11129,11450,10145,10375,10721,10922,11032,11166,11361,10170,10361,10644,10767,11022,11240,11401,10338,10446,10724,11029,10... | 2024-01-01 | 2024-05-07 | 10585,10748,11114,11137,11439,10222,10607,10682,10838,11167,11183,11346,10280,10445,10722,10681,10858,11088,11340,10373,10465,10520,10961,10979,11158,11422,10196,10434,10629,10709,11192,11194,11454,10355,10534,10510,10784,11086,11200,11474,10330,10373,10706,10794,10951,11081,11477,10334,10385,10576,10867,11058,11148,11... | 2024-05-08 | 2024-09-12 | , | 58,59,60,61,62,63,64,65,66,67,68,69,70,71 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the number of transactions at this branch in the next 128 days, from 2024-05-08 to 2024-09-12. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the number of internet banking transactions at a bank branch in a city. The data was recorded from 2024-01-01 to 2024-05-07 with a daily (D) recording frequency. From 2024-07-05 to 2024-07-18, there is a popular event in the city and there will be many tourists arriving. Experts expect that the... | <history>10334,10409,10570,10746,10989,11270,11281,10295,10356,10508,10718,11146,11087,11346,10167,10362,10503,10995,10915,11265,11251,10219,10445,10481,10687,10952,11172,11240,10271,10445,10642,10895,10900,11129,11450,10145,10375,10721,10922,11032,11166,11361,10170,10361,10644,10767,11022,11240,11401,10338,10446,10724... |
future_event_template_GYM/template_idx/template2/item3 | GIFT synthesize | future | D | 10321,10470,10411,10404,10581,10717,10416,10540,10338,10450,10318,10483,10694,10574,10311,10565,10372,10576,10436,10711,10786,10502,10439,10512,10389,10678,10835,10729,10203,10318,10561,10931,10631,10965,10760,10369,10750,10609,10876,10794,10834,10877,10553,10434,10631,10742,10588,10294,10681,10285,10251,10625,10632,10... | 2024-01-01 | 2025-01-18 | 10923,10559,10657,10882,10604,10702,10810,10965,10466,10789,10761,10958,10775,10658,11191,10462,10615,10747,10722,10866,11243,10752,10576,10640,10760,10802,10984,10873,11113,10478,10640,10712,10949,10631,10725,10833,10638,10508,10542,10938,10827,10997,11178,10708,10619,10672,10840,10752,10844,10940,10730,10668,10786,15... | 2025-01-19 | 2025-05-26 | , | 53,54,55,56,57,58,59,60,61,62,63,64 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the number of transactions at this branch in the next 128 days, from 2025-01-19 to 2025-05-26. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the number of internet banking transactions at a bank branch in a city. The data was recorded from 2024-01-01 to 2025-01-18 with a daily (D) recording frequency. From 2025-03-13 to 2025-03-24, there is a popular event in the city and there will be many tourists arriving. Experts expect that the... | <history>10321,10470,10411,10404,10581,10717,10416,10540,10338,10450,10318,10483,10694,10574,10311,10565,10372,10576,10436,10711,10786,10502,10439,10512,10389,10678,10835,10729,10203,10318,10561,10931,10631,10965,10760,10369,10750,10609,10876,10794,10834,10877,10553,10434,10631,10742,10588,10294,10681,10285,10251,10625... |
future_event_template_GYM/template_idx/template3/item3 | GIFT synthesize | future | D | 11100,11935,11681,10720,10288,9764,10141,11210,11596,11880,11078,10049,9788,10387,11054,11954,11704,11347,10139,9647,10293,11072,11911,11749,11085,10252,9561,10286,10972,12004,11900,11167,10157,9543,10335,11121,12012,11839,11139,10058,9800,10200,11130,11777,11976,10977,10184,9861,10420,11155,11966,11877,11011,10280,968... | 2024-01-01 | 2025-01-18 | 10117,11245,12073,11844,11133,10253,9867,10241,11176,11804,12006,10946,10082,9644,10377,11215,11834,11873,11311,10212,9914,10078,11015,11933,11722,11293,10190,9927,10087,11043,12000,11908,11063,10302,9924,10364,11222,11901,11801,11160,10163,9837,10184,11283,11852,11932,11257,10238,9823,10403,11164,12039,11702,11029,101... | 2025-01-19 | 2025-05-26 | , | 75,76,77,78,79,80 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the number of transactions at this branch in the next 128 days, from 2025-01-19 to 2025-05-26. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the number of internet banking transactions at a bank branch in a city. The data was recorded from 2024-01-01 to 2025-01-18 with a daily (D) recording frequency. From 2025-04-04 to 2025-04-09, there is a popular event in the city and there will be many tourists arriving. Experts expect that the... | <history>11100,11935,11681,10720,10288,9764,10141,11210,11596,11880,11078,10049,9788,10387,11054,11954,11704,11347,10139,9647,10293,11072,11911,11749,11085,10252,9561,10286,10972,12004,11900,11167,10157,9543,10335,11121,12012,11839,11139,10058,9800,10200,11130,11777,11976,10977,10184,9861,10420,11155,11966,11877,11011,... |
future_event_template_GYM/template_idx/template4/item3 | GIFT synthesize | future | D | 9839,10217,10177,10169,10451,10468,10835,9725,9703,10357,10233,10399,10577,10867,9899,9800,9863,10112,10452,10518,10821,9892,9717,10084,10230,10441,10705,11011,9873,9987,9914,10216,10273,10619,10661,9957,10112,10277,10315,10293,10703,10918,9758,10011,9968,10152,10289,10747,10868,9832,9716,10125,10265,10505,10499,10720,... | 2024-01-01 | 2026-06-14 | 9877,9900,9971,9952,10263,10504,10615,9790,9688,9989,10060,10314,10676,10582,9495,9895,9898,10293,10393,10493,10549,9562,9854,10228,10240,10130,10549,10623,9654,9631,10033,10030,10254,10393,10513,9697,9700,10071,10098,10534,10517,10754,9807,10063,9978,10281,10213,10580,10571,9615,9792,10124,10240,10203,10489,10858,9677... | 2026-06-15 | 2026-10-20 | , | 117,118,119,120 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the number of transactions at this branch in the next 128 days, from 2026-06-15 to 2026-10-20. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the number of internet banking transactions at a bank branch in a city. The data was recorded from 2024-01-01 to 2026-06-14 with a daily (D) recording frequency. From 2026-10-10 to 2026-10-13, there is a popular event in the city and there will be many tourists arriving. Experts expect that the... | <history>9839,10217,10177,10169,10451,10468,10835,9725,9703,10357,10233,10399,10577,10867,9899,9800,9863,10112,10452,10518,10821,9892,9717,10084,10230,10441,10705,11011,9873,9987,9914,10216,10273,10619,10661,9957,10112,10277,10315,10293,10703,10918,9758,10011,9968,10152,10289,10747,10868,9832,9716,10125,10265,10505,104... |
future_event_template_GYM/template_idx/template0/item4 | GIFT synthesize | future | M | 9479,9612,9723,9412,9556,9724,9598,9776,9864,9583,9874,9755,9307,9742,9443,9644,9395,9782,9861,9637,9532,9760,9896,9873,9591,9438,9800,9474,9563,9800,9792,9632,9796,9631,9505,9919,9903,9379,9521,9509,9566,9481,9427,9516,9481,9680,9700,9757,9387,9433,9563,9654,9504,9458,9559,9763,9894,9759,9378,9608,9462,9288,9541,9333,... | 2010-01 | 2020-08 | 9730,9681,9424,9907,9568,9553,9326,9756,9656,9647,9851,9484,9431,9884,9574,9710,9349,9491,9470,9619,9352,9528,9553,9429,9556,9778,9738,9779,9337,9389,9452,9456,9603,9328,9550,9809,9497,9214,9760,9723,9604,9251,9375,9420,9426,9389,9668,9509,9624,9709,9627,9571,9450,9354,9710,9613,9357,9542,9571,9558,9391,9960,9732,9615,... | 2020-09 | 2031-04 | , | 88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this chain store in the next 128 months, from 2020-09 to 2031-04. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular chain store. The data was recorded from 2010-01 to 2020-08 with a monthly (M) recording frequency. On the months of 2028-01 the chain will open a new location, after opening, the sales is expected to increase by 20 percent over the normal periods. Based on this informatio... | <history>9479,9612,9723,9412,9556,9724,9598,9776,9864,9583,9874,9755,9307,9742,9443,9644,9395,9782,9861,9637,9532,9760,9896,9873,9591,9438,9800,9474,9563,9800,9792,9632,9796,9631,9505,9919,9903,9379,9521,9509,9566,9481,9427,9516,9481,9680,9700,9757,9387,9433,9563,9654,9504,9458,9559,9763,9894,9759,9378,9608,9462,9288,9... |
future_event_template_GYM/template_idx/template1/item4 | GIFT synthesize | future | M | 9188,9318,9243,9866,9648,9562,9395,9723,9707,9962,9674,9994,9331,9130,9315,9522,9613,9526,9585,9605,9593,9796,9642,10037,9341,9432,9568,9557,9363,9648,9652,9733,9858,9781,9998,10008,9377,9151,9659,9373,9697,9565,9721,9668,9827,9719,9770,10151,9544,9217,9648,9559,9747,9444,9481,9712,9670,9751,9877,9784,9407,9302,9439,95... | 2010-01 | 2020-08 | 9525,9794,9569,9848,9078,9458,9465,9259,9624,9638,9265,9398,9615,9947,9634,9634,9165,9331,9186,9537,9009,9692,9688,9607,9821,10089,9915,9771,9331,9380,9502,9674,9406,9480,9534,9661,9756,9757,9846,9699,9435,9404,9151,9370,9431,9481,9671,9860,9936,9808,9700,9742,9195,9578,9304,9488,9455,9794,9526,9404,9645,9924,10155,101... | 2020-09 | 2031-04 | , | 127 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this chain store in the next 128 months, from 2020-09 to 2031-04. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular chain store. The data was recorded from 2010-01 to 2020-08 with a monthly (M) recording frequency. On the months of 2031-04 the chain will open a new location, after opening, the sales is expected to increase by 35 percent over the normal periods. Based on this informatio... | <history>9188,9318,9243,9866,9648,9562,9395,9723,9707,9962,9674,9994,9331,9130,9315,9522,9613,9526,9585,9605,9593,9796,9642,10037,9341,9432,9568,9557,9363,9648,9652,9733,9858,9781,9998,10008,9377,9151,9659,9373,9697,9565,9721,9668,9827,9719,9770,10151,9544,9217,9648,9559,9747,9444,9481,9712,9670,9751,9877,9784,9407,930... |
future_event_template_GYM/template_idx/template2/item4 | GIFT synthesize | future | M | 9990,10150,10138,10235,10117,10406,10204,10496,10555,10583,10623,10580,10114,10079,10083,10146,10135,10451,10324,10518,10677,10735,10665,10936,9981,10090,10166,10305,10086,10469,10489,10503,10580,10337,10560,10916,10077,9929,10016,10275,10237,10152,10487,10631,10643,10464,10508,10773,9806,10143,10100,10170,10546,10330,... | 2010-01 | 2041-12 | 9969,10067,9985,10050,10220,10210,10218,10435,10522,10819,10660,10661,9779,9854,9768,10295,10261,10199,10276,10337,10523,10653,10634,10711,9856,10060,10007,10025,9966,10257,10181,10296,10394,10435,10540,10457,9867,9935,9879,10157,10151,10137,10391,10114,10530,10534,10553,10655,9876,10125,10139,10056,10239,10111,10285,1... | 2042-01 | 2052-08 | , | 62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this chain store in the next 128 months, from 2042-01 to 2052-08. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular chain store. The data was recorded from 2010-01 to 2041-12 with a monthly (M) recording frequency. On the months of 2047-03 the chain will open a new location, after opening, the sales is expected to increase by 22 percent over the normal periods. Based on this informatio... | <history>9990,10150,10138,10235,10117,10406,10204,10496,10555,10583,10623,10580,10114,10079,10083,10146,10135,10451,10324,10518,10677,10735,10665,10936,9981,10090,10166,10305,10086,10469,10489,10503,10580,10337,10560,10916,10077,9929,10016,10275,10237,10152,10487,10631,10643,10464,10508,10773,9806,10143,10100,10170,105... |
future_event_template_GYM/template_idx/template3/item4 | GIFT synthesize | future | M | 10515,10473,10890,10696,10693,10225,10001,9930,9176,9584,9320,9761,10304,10439,10709,10812,10459,10367,9988,9555,9002,9181,9813,9709,10257,10417,10438,10843,10736,10160,10185,9539,9136,9227,9557,10075,9933,10619,10674,10714,10522,10199,10142,9563,9259,9352,9677,9730,9988,10530,10637,10665,10165,10240,9837,9515,9611,927... | 2010-01 | 2041-12 | 10136,10232,10707,10896,10600,10233,9992,9416,9407,9342,9568,9696,10030,10586,10688,10815,10731,10138,9802,9662,9512,9376,9927,10042,10053,10636,10555,10821,10992,10513,9992,9519,9591,9488,9547,9719,10138,10426,10612,10781,10572,10166,10024,9360,9580,9315,9738,9740,10307,10278,10695,10980,10728,10145,10046,9785,9301,91... | 2042-01 | 2052-08 | , | 91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this chain store in the next 128 months, from 2042-01 to 2052-08. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular chain store. The data was recorded from 2010-01 to 2041-12 with a monthly (M) recording frequency. On the months of 2049-08 the chain will open a new location, after opening, the sales is expected to increase by 28 percent over the normal periods. Based on this informatio... | This time series records the sales of a popular chain store. The data was recorded from 2010-01 to 2041-12 with a monthly (M) recording frequency. On the months of 2049-08 the chain will open a new location, after opening, the sales is expected to increase by 28 percent over the normal periods. Based on this informatio... |
future_event_template_GYM/template_idx/template4/item4 | GIFT synthesize | future | M | 8807,8872,9042,8965,9132,8796,9080,8938,9186,8966,9179,9377,8667,9026,8923,8834,8983,8868,9157,8929,9201,9067,9279,9104,8729,8914,9102,8988,9149,8788,9083,9046,9125,9280,9108,9506,8781,8831,8694,8876,9076,8868,9109,9314,9226,9295,9292,9281,8787,8918,8842,9007,9297,9173,9119,9249,9336,9105,9465,9515,8789,8696,8977,8823,... | 2010-01 | 2084-08 | 8681,8862,8965,9047,8561,8232,8547,8742,8813,8430,8713,8966,9060,9017,8897,8890,8343,8690,8514,8730,8650,8763,8944,8746,8764,8582,8752,9131,8440,8692,8648,8538,8759,8576,8641,8675,8916,8858,11924,11753,10633,11025,11645,11563,11553,11291,11584,11330,11667,11693,11431,11975,10975,11362,11231,11149,11455,11431,11518,1131... | 2084-09 | 2095-04 | , | 38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127 | 128 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Based on this information, forecast the sales of this chain store in the next 128 months, from 2084-09 to 2095-04. The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This time series records the sales of a popular chain store. The data was recorded from 2010-01 to 2084-08 with a monthly (M) recording frequency. On the months of 2087-11 the chain will open a new location, after opening, the sales is expected to increase by 31 percent over the normal periods. Based on this informatio... | <history>8807,8872,9042,8965,9132,8796,9080,8938,9186,8966,9179,9377,8667,9026,8923,8834,8983,8868,9157,8929,9201,9067,9279,9104,8729,8914,9102,8988,9149,8788,9083,9046,9125,9280,9108,9506,8781,8831,8694,8876,9076,8868,9109,9314,9226,9295,9292,9281,8787,8918,8842,9007,9297,9173,9119,9249,9336,9105,9465,9515,8789,8696,8... |
CIK/future/item0 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-05-28 12:00:00 for 2 hours in city A, leading to excessive use of air conditioning, and 4 times the usual electricity being consumed.
| <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item1 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2012-10-09 18:00:00 for 3 hours in city A, leading to excessive use of air conditioning, and 5 times the usual electricity being consumed.
| <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item2 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-10-03 12:00:00 for 1 hour in city A, leading to excessive use of air conditioning, and 4 times the usual electricity being consumed.
| <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item3 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-12-19 00:00:00 for 1 hour in city A, leading to excessive use of air conditioning, and 3 times the usual electricity being consumed.
| <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item4 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2012-05-13 16:00:00 for 2 hours in city A, leading to excessive use of air conditioning, and 3 times the usual electricity being consumed.
| <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item5 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-05-28 12:00:00 for 2 hours, leading to excessive use of air conditioning, and 4 times the usual electricity being consumed. A brief technical issue in the electricity grid caused a major dip of ... | <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item6 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2012-10-09 18:00:00 for 3 hours, leading to excessive use of air conditioning, and 5 times the usual electricity being consumed. Historically, over the past 3 years, there have been patterns of incre... | <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item7 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-10-03 12:00:00 for 1 hour, leading to excessive use of air conditioning, and 4 times the usual electricity being consumed. A brief technical issue in the electricity grid caused a major dip of 8... | <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item8 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-12-19 00:00:00 for 1 hour, leading to excessive use of air conditioning, and 3 times the usual electricity being consumed. A brief technical issue in the electricity grid caused a major dip of 8... | <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item9 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2012-05-13 16:00:00 for 2 hours, leading to excessive use of air conditioning, and 3 times the usual electricity being consumed. There was a festival in neighbouring cities B and C that resulted in 6... | <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item10 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.There was a festival in neighbouring cities B and C that resulted in 10 times the usual electricity being consumed there from 2013-05-28 12:00:00 for 2 hours. But this did not affect electricity consumption in city A.Suppose that there is a heat wa... | <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item11 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A brief technical issue in the electricity grid in a nearby city caused a major dip of 85% from 2012-10-09 18:00:00 for 3 hours. This issue has affected many nearby cities, but not this city.Suppose that there is a heat wave in city A from 2012-10-... | <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item12 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A brief technical issue in the electricity grid in a nearby city caused a major dip of 95% from 2013-10-03 12:00:00 for 1 hour. This issue has affected many nearby cities, but not this city.Suppose that there is a heat wave in city A from 2013-10-0... | <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item13 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.There was a festival in neighbouring cities B and C that resulted in 7 times the usual electricity being consumed there from 2013-12-19 00:00:00 for 1 hour. But this did not affect electricity consumption in city A.Suppose that there is a heat wave... | <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item14 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.There was a festival in neighbouring cities B and C that resulted in 6 times the usual electricity being consumed there from 2012-05-13 16:00:00 for 2 hours. But this did not affect electricity consumption in city A.Suppose that there is a heat wav... | <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item15 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-05-28 12:00:00 for 2 hours, which would typically lead to excessive use of air conditioning, and 10 times the usual electricity being consumed. But in this case, residents sought to conserve ene... | <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item16 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2012-10-09 18:00:00 for 3 hours, which would typically lead to excessive use of air conditioning, and 9 times the usual electricity being consumed. But in this case, residents sought to conserve ener... | <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item17 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-10-03 12:00:00 for 1 hour, which would typically lead to excessive use of air conditioning, and 10 times the usual electricity being consumed. But in this case, residents sought to conserve ener... | <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item18 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2013-12-19 00:00:00 for 1 hour, which would typically lead to excessive use of air conditioning, and 7 times the usual electricity being consumed. But in this case, residents sought to conserve energ... | <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item19 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.Suppose that there is a heat wave in city A from 2012-05-13 16:00:00 for 2 hours, which would typically lead to excessive use of air conditioning, and 6 times the usual electricity being consumed. But in this case, residents sought to conserve ener... | <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item20 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A heatwave struck the city, which began on 2013-05-28 12:00:00 and lasted for approximately 2 hours, saw temperatures soar to unprecedented levels. According to the city's electricity provider, power consumption during the peak of the heatwave reac... | <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item21 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A heatwave struck the city, which began on 2012-10-09 18:00:00 and lasted for approximately 3 hours, saw temperatures soar to unprecedented levels. According to the city's electricity provider, power consumption during the peak of the heatwave reac... | <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item22 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A heatwave struck the city, which began on 2013-10-03 12:00:00 and lasted for approximately 1 hour, saw temperatures soar to unprecedented levels. According to the city's electricity provider, power consumption during the peak of the heatwave reach... | <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item23 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A heatwave struck the city, which began on 2013-12-19 00:00:00 and lasted for approximately 1 hour, saw temperatures soar to unprecedented levels. According to the city's electricity provider, power consumption during the peak of the heatwave reach... | <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item24 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A heatwave struck the city, which began on 2012-05-13 16:00:00 and lasted for approximately 2 hours, saw temperatures soar to unprecedented levels. According to the city's electricity provider, power consumption during the peak of the heatwave reac... | <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item25 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2013-05-28 12:00:00 and lasted for approximatel... | <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item26 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2012-10-09 18:00:00 and lasted for approximatel... | <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item27 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2013-10-03 12:00:00 and lasted for approximatel... | <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item28 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2013-12-19 00:00:00 and lasted for approximatel... | <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item29 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2012-05-13 16:00:00 and lasted for approximatel... | <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item30 | CIK | future | H | 351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.9844878076,435.663... | 2013-05-22 04:00:00 | 2013-05-28 03:00:00 | 345.3082090214,297.3952571634,252.9083406769,326.4740036796,332.7867941306,322.0692551745,442.4631202637,398.7641356596,2363.4195396839,2354.3163443754,511.7063009793,422.9986442415,315.292660176,305.1383481262,387.3074038773,421.2395195819,428.1824285534,541.0133255318,579.3247305571,502.0631593788,454.5807490257,409.... | 2013-05-28 04:00:00 | 2013-05-29 03:00:00 | , | 8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-05-28 04:00:00 to 2013-05-29 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2013-05-28 12:00:00 and lasted for approximatel... | <history>351.2516211415,296.4482090403,231.8647128451,313.3813388685,358.7757575781,388.4802172839,416.0560981503,418.1745225098,555.8399381358,450.1804257864,469.9327194786,384.7286852972,351.7530566808,287.35908844,318.4292200758,502.0940719716,410.1397379204,561.9292622026,713.3566788786,597.7893180099,436.984487807... |
CIK/future/item31 | CIK | future | H | 2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914640506,24... | 2012-10-03 13:00:00 | 2012-10-09 12:00:00 | 3306.4741429646,2965.5678242008,2906.5024781426,3090.7526672942,3227.4065834481,16754.824097567,16714.5345840893,16508.3705522012,3078.0590968614,2925.6328331622,2712.7558533895,2382.423557348,1634.0269881106,1685.3201044048,1239.3774409873,1372.3142492601,1215.4750877617,1812.973177679,1995.3306966688,2257.0234746904,... | 2012-10-09 13:00:00 | 2012-10-10 12:00:00 | , | 5,6,7 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-10-09 13:00:00 to 2012-10-10 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2012-10-09 18:00:00 and lasted for approximatel... | <history>2849.5772644674,2912.3948947443,2995.999075764,2936.6241219303,3016.1410780868,2869.9795725569,2986.7066804195,3066.8884560843,2782.6679560818,2693.2375614632,2661.9296549431,1967.4012959935,1515.6707842133,1349.1352392674,1273.4706324428,1229.6741183469,1238.6434462393,1423.6177899056,1603.492107923,1823.6914... |
CIK/future/item32 | CIK | future | H | 999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.904889146... | 2013-09-29 00:00:00 | 2013-10-02 23:00:00 | 840.2519958766,782.0773855098,805.9704632229,779.3670760035,702.3938474406,787.7919464477,782.4958200928,865.4069068694,990.4178783421,1083.9678965031,1147.8504686798,1250.1878180861,5073.4070825166,1271.44371789,1232.4393767969,1227.3800407785,1264.6725444383,1248.3758374634,1237.7672368001,1301.2322490518,1210.738382... | 2013-10-03 00:00:00 | 2013-10-03 23:00:00 | , | 12 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-10-03 00:00:00 to 2013-10-03 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2013-10-03 12:00:00 and lasted for approximatel... | <history>999.6195114715,784.2344573531,737.588217289,753.8795816336,749.7819284344,805.625010687,855.4612387851,910.4025342005,1008.3860893731,1139.5080979713,1189.24900435,1185.9860263574,1195.2858861884,1199.3035869065,1205.8889857662,1180.520274407,1191.1023334031,1205.9765342416,1212.3961716371,1203.178074945,1192.... |
CIK/future/item33 | CIK | future | H | 91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2962324659... | 2013-12-13 05:00:00 | 2013-12-18 04:00:00 | 83.5794338029,82.515900143,85.8644546967,85.6216877662,92.8109308545,96.2353549458,94.1802269888,89.6338698892,93.252747434,93.5081828237,95.5468742652,93.5939439899,95.3580153227,95.2176357802,96.3645474356,96.0234541784,94.1853389036,93.6459066239,92.9734595142,286.6706268134,91.6496615583,90.9276964789,92.0464980958... | 2013-12-18 05:00:00 | 2013-12-19 04:00:00 | , | 19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2013-12-18 05:00:00 to 2013-12-19 04:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2013-12-19 00:00:00 and lasted for approximatel... | <history>91.8673086996,92.0924125542,93.9442670199,95.788876666,92.9137018953,92.0797519891,92.0442677915,91.8471143677,92.0824293095,91.9882769402,92.0566351072,92.0442682062,93.8458699895,93.0467655899,94.9191405356,96.2061139252,95.0963754172,95.0061469359,95.8690297509,96.0072524211,94.0213035558,95.8389241241,96.2... |
CIK/future/item34 | CIK | future | H | 576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.800865299,770.106... | 2012-05-06 22:00:00 | 2012-05-12 21:00:00 | 731.4944051872,480.4839431434,399.4650331586,390.030081889,391.1636328287,328.4591506993,375.8035994547,480.7835981829,467.7744632819,683.4656162567,795.1888366593,888.7914302903,919.154320809,913.5005962503,932.3435438401,884.2859117602,948.9526261997,1007.7254275015,3092.7965571521,3080.2435812453,1053.3046412723,102... | 2012-05-12 22:00:00 | 2012-05-13 21:00:00 | , | 18,19 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2012-05-12 22:00:00 to 2012-05-13 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the electricity consumption recorded in Kilowatt (kW) in city A.A sudden and intense heatwave struck the city, causing a dramatic surge in electricity consumption as residents sought refuge from the scorching temperatures. The extreme weather event, which began on 2012-05-13 16:00:00 and lasted for approximatel... | <history>576.5585078009,360.2741590517,329.540771783,299.0708102444,312.7244949413,305.6137486905,323.6999245903,373.4491213299,405.6847103553,620.2701152204,664.1208952701,775.7207595633,823.5379697881,792.0171013216,839.2381864231,790.2599709799,782.6228662181,807.7556829991,818.5642794431,863.9187830494,855.80086529... |
CIK/future/item35 | CIK | future | D | 31.3269446476,41.8490827396,27.9978737412,19.766357063,22.2057944367,19.033263005,24.65537344,31.5860499745,38.4477877691,26.7792376809,16.7554332017,19.6258224432,19.6336259616,18.2808016464,30.2621255469,39.0508400392,28.9263346391,16.5263060127,20.2866228195,19.2944135874,21.1842921337,29.0154991946,43.7409495853,30... | 1996-05-29 00:00:00 | 1996-11-12 00:00:00 | 29.8801811284,39.2428278071,37.0494174402,24.2551993681,20.945981097,14.9020674982,23.568944611,32.1968335537,41.1662063444,33.0535793047,18.4631675085,0.1276165737,0.3512835325,-0.1289037327,-0.033074833,0.2199539363,0.4210825749,-0.8398497153,0.1213763415,-0.0499595422,-0.3210775767,25.2212663282,40.3165574716,35.357... | 1996-11-13 00:00:00 | 1997-01-07 00:00:00 | , | 11,12,13,14,15,16,17,18,19,20 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-13 00:00:00 to 1997-01-07 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Consider that cash is depleted in the ATM from 1996-11-24 00:00:00, for 10 days, resulting in no withdrawals during that period.
| <history>31.3269446476,41.8490827396,27.9978737412,19.766357063,22.2057944367,19.033263005,24.65537344,31.5860499745,38.4477877691,26.7792376809,16.7554332017,19.6258224432,19.6336259616,18.2808016464,30.2621255469,39.0508400392,28.9263346391,16.5263060127,20.2866228195,19.2944135874,21.1842921337,29.0154991946,43.7409... |
CIK/future/item36 | CIK | future | D | 28.3105609601,22.2355782892,11.2811871586,18.9865533482,17.3113897691,20.8268859616,20.2688368308,26.2103498424,23.1007893049,15.8074358282,15.7979395669,11.6951424016,14.2515885307,16.3809560088,23.7600905016,23.6420544878,13.5061240064,11.8454074029,13.0638145954,15.568765393,22.6773313262,31.0453798247,26.0305944384... | 1997-07-24 00:00:00 | 1998-01-07 00:00:00 | 27.1831380635,22.7916733623,13.6601516444,13.9889084879,8.7372423594,11.7828544777,20.5998141981,32.0413974502,18.6202810021,-0.1231673764,10.541125161,10.106896371,16.8048650994,22.1129731417,28.8474057544,25.4155761326,13.2130651293,14.6549615069,12.4520485842,15.3593383393,22.2599394641,32.5456791689,-0.0901315364,0... | 1998-01-08 00:00:00 | 1998-03-04 00:00:00 | , | 22,23,24,25,26,27,28,29,30 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1998-01-08 00:00:00 to 1998-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Consider that cash is depleted in the ATM from 1998-01-30 00:00:00, for 9 days, resulting in no withdrawals during that period.
| <history>28.3105609601,22.2355782892,11.2811871586,18.9865533482,17.3113897691,20.8268859616,20.2688368308,26.2103498424,23.1007893049,15.8074358282,15.7979395669,11.6951424016,14.2515885307,16.3809560088,23.7600905016,23.6420544878,13.5061240064,11.8454074029,13.0638145954,15.568765393,22.6773313262,31.0453798247,26.0... |
CIK/future/item37 | CIK | future | D | 26.7624570764,7.5606339282,13.8868448306,13.6334266131,14.4243172137,16.359903538,27.2622949758,29.0547458562,11.9876860929,29.8210565058,14.4017353954,17.0499415086,18.525490271,24.0035249558,28.2464826646,12.82882548,17.5846345552,15.6561518605,19.0268679837,20.2954013387,24.5682442409,35.3388562518,12.880197533,20.1... | 1996-11-22 00:00:00 | 1997-03-13 00:00:00 | 21.0868678929,6.7695739771,12.6453883486,11.85902715,11.1551024467,17.0780967472,21.7362062967,23.5754291162,0.1112149158,0.1671609364,0.3034268742,-0.1885862199,30.4893523136,15.8174772671,29.504734127,8.7106017427,7.8065969966,18.8266186746,16.0084154849,18.5749574327,22.1338086806,21.805510348,6.5531324534,14.985102... | 1997-03-14 00:00:00 | 1997-05-08 00:00:00 | , | 8,9,10,11 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-03-14 00:00:00 to 1997-05-08 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Consider that cash is depleted in the ATM from 1997-03-22 00:00:00, for 4 days, resulting in no withdrawals during that period.
| <history>26.7624570764,7.5606339282,13.8868448306,13.6334266131,14.4243172137,16.359903538,27.2622949758,29.0547458562,11.9876860929,29.8210565058,14.4017353954,17.0499415086,18.525490271,24.0035249558,28.2464826646,12.82882548,17.5846345552,15.6561518605,19.0268679837,20.2954013387,24.5682442409,35.3388562518,12.88019... |
CIK/future/item38 | CIK | future | D | 38.1224366896,36.0782575814,21.17553163,18.2037741708,13.6095466555,18.8303621684,30.5276783081,37.1557636417,33.4480675766,21.1754190815,21.8820549374,20.4511487854,26.8780194092,45.0174293806,36.6376661738,37.5247423595,18.7685863607,26.2751776838,27.383679886,24.0667826931,25.1330003732,45.8958254993,36.4096252206,2... | 1997-03-13 00:00:00 | 1997-08-27 00:00:00 | 50.1586236768,44.3568113206,29.3499896282,29.0911061849,24.0012570173,24.3941304397,37.5570892066,60.6152870694,-0.118302601,-0.6014085342,0.1042554304,0.4942303731,-0.2973346874,-0.1738447119,-0.2174429726,-0.1554801226,26.395393432,26.0673935407,17.7538028847,24.5994519547,36.9517372565,52.9106762951,40.1853946727,34... | 1997-08-28 00:00:00 | 1997-10-22 00:00:00 | , | 8,9,10,11,12,13,14,15 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-08-28 00:00:00 to 1997-10-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Consider that cash is depleted in the ATM from 1997-09-05 00:00:00, for 8 days, resulting in no withdrawals during that period.
| <history>38.1224366896,36.0782575814,21.17553163,18.2037741708,13.6095466555,18.8303621684,30.5276783081,37.1557636417,33.4480675766,21.1754190815,21.8820549374,20.4511487854,26.8780194092,45.0174293806,36.6376661738,37.5247423595,18.7685863607,26.2751776838,27.383679886,24.0667826931,25.1330003732,45.8958254993,36.409... |
CIK/future/item39 | CIK | future | D | 23.0573194768,12.9165042205,11.9178069141,21.6696334344,19.8026874487,15.8385136193,11.0613535947,14.1017638045,11.8308074189,14.2648716202,13.1243177719,21.4725439264,21.4271099518,11.127596994,15.6617714376,13.8722162432,15.7817101337,19.1903812502,23.2114079681,19.1791711512,15.0080959954,14.7982446719,2.3432697748,... | 1996-07-14 00:00:00 | 1996-11-02 00:00:00 | 11.6830578152,9.4384059809,10.7786436095,13.064487694,16.9101641171,17.7642332262,12.6483036001,11.2366710106,8.408695659,-0.2291426836,11.4436361094,15.4370761981,7.3051757911,11.7123853925,8.2225930333,7.1373074672,8.5611290183,11.4380650275,14.979041438,19.3324857226,9.0526776711,9.3516003052,12.7618320004,7.2422113... | 1996-11-03 00:00:00 | 1996-12-28 00:00:00 | , | 9 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-03 00:00:00 to 1996-12-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Consider that cash is depleted in the ATM from 1996-11-12 00:00:00, for 1 day, resulting in no withdrawals during that period.
| <history>23.0573194768,12.9165042205,11.9178069141,21.6696334344,19.8026874487,15.8385136193,11.0613535947,14.1017638045,11.8308074189,14.2648716202,13.1243177719,21.4725439264,21.4271099518,11.127596994,15.6617714376,13.8722162432,15.7817101337,19.1903812502,23.2114079681,19.1791711512,15.0080959954,14.7982446719,2.34... |
CIK/future/item40 | CIK | future | D | 31.122501499,41.6604530533,28.0595869941,19.79040905,22.1464820253,19.1432663383,24.3165843031,31.7331246941,38.4728872702,26.5820070488,16.7441876249,19.7346019934,19.7200678901,18.2671597189,30.3546992929,39.1701689871,29.0690737019,16.5334044622,20.3346991501,19.3424233394,21.163334877,29.0047080963,43.8598533664,30... | 1996-05-29 00:00:00 | 1996-11-12 00:00:00 | 29.8624128638,39.2815935556,37.0513358742,24.2783073932,20.9533626081,14.8815312198,23.6438709762,32.2021342162,41.0871384792,33.0529487324,18.6016231428,23.2917768959,20.8270421758,19.1249565384,31.9595316865,40.5877432405,34.6887820282,11.3783244227,57.3143784538,19.1904266724,24.6345164589,25.2826763303,40.346222479... | 1996-11-13 00:00:00 | 1997-01-07 00:00:00 | , | 0,1,2,3,12,13,14,15,16,17,18,27,28,29,30,31,32,33,42,43,44,45,46,47,48 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-13 00:00:00 to 1997-01-07 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 7 days, periodically every 15 days, starting from 1996-08-12 00:00:00, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future. ... | <history>31.122501499,41.6604530533,28.0595869941,19.79040905,22.1464820253,19.1432663383,24.3165843031,31.7331246941,38.4728872702,26.5820070488,16.7441876249,19.7346019934,19.7200678901,18.2671597189,30.3546992929,39.1701689871,29.0690737019,16.5334044622,20.3346991501,19.3424233394,21.163334877,29.0047080963,43.8598... |
CIK/future/item41 | CIK | future | D | 27.6740903266,21.5446995009,11.1547503362,18.9014206013,16.9952641406,21.0278605018,19.9284706507,25.807568274,22.5940734874,15.5903422453,14.6767309627,11.7255036324,14.6561091223,16.2836700398,24.731795548,23.349391712,13.7789264469,11.8294106003,13.042932093,15.3589358414,21.4962376892,31.2695408865,25.7782085757,16... | 1997-07-24 00:00:00 | 1998-01-07 00:00:00 | 27.1767751563,22.9276935053,13.515230708,13.6311084267,8.4650116439,12.1123825331,20.3628655634,31.7413473031,18.5367709863,0.1032502808,10.2362319665,10.3972262386,16.8560689919,21.9820064785,28.7919131669,25.3711927466,13.2726976935,15.1224453475,11.9035755067,16.0326878787,22.7783220678,32.0437608924,21.6601300759,1... | 1998-01-08 00:00:00 | 1998-03-04 00:00:00 | , | 7,8,9,10,19,20,21,22,31,32,33,34,43,44,45,46 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1998-01-08 00:00:00 to 1998-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 4 days, periodically every 12 days, starting from 1997-09-05 00:00:00, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future. ... | <history>27.6740903266,21.5446995009,11.1547503362,18.9014206013,16.9952641406,21.0278605018,19.9284706507,25.807568274,22.5940734874,15.5903422453,14.6767309627,11.7255036324,14.6561091223,16.2836700398,24.731795548,23.349391712,13.7789264469,11.8294106003,13.042932093,15.3589358414,21.4962376892,31.2695408865,25.7782... |
CIK/future/item42 | CIK | future | D | 26.8124041887,7.5620102148,13.8634113649,13.6304762615,14.5301439633,16.329274092,27.3101374727,28.9946186122,-0.1048361462,0.0200112291,-0.4912609968,0.1200955838,-0.4917355253,-0.1928526308,-0.1692716315,12.9214801832,17.5926099945,15.5948597957,18.9910048503,20.3473180355,24.5410114355,35.2712676431,0.2016411056,0.0... | 1996-11-22 00:00:00 | 1997-03-13 00:00:00 | 21.05471373,6.809713593,12.656364801,11.8317726301,11.117821392,17.1104362941,21.7183650914,23.6067226341,6.3288757264,18.209582624,17.2606664828,17.0332626484,30.504796479,15.8473843618,29.4680317342,8.7184262683,7.8509676036,18.8465132531,15.9839833826,18.5942899476,22.201495913,21.8110737455,6.5522318248,14.98429468... | 1997-03-14 00:00:00 | 1997-05-08 00:00:00 | , | 0,8,9,10,11,12,13,14,22,23,24,25,26,27,28,36,37,38,39,40,41,42 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-03-14 00:00:00 to 1997-05-08 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 7 days, periodically every 14 days, starting from 1996-11-30 00:00:00, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future. ... | <history>26.8124041887,7.5620102148,13.8634113649,13.6304762615,14.5301439633,16.329274092,27.3101374727,28.9946186122,-0.1048361462,0.0200112291,-0.4912609968,0.1200955838,-0.4917355253,-0.1928526308,-0.1692716315,12.9214801832,17.5926099945,15.5948597957,18.9910048503,20.3473180355,24.5410114355,35.2712676431,0.20164... |
CIK/future/item43 | CIK | future | D | 37.9192009009,36.0067750248,21.6482194388,18.1970730377,13.9248175294,19.0175829269,31.0186859852,36.7143481909,33.8435588637,21.0001993727,21.057342778,20.6874193365,27.7575974149,45.1585141808,36.7819418381,37.374079959,18.2079815694,26.2149327944,27.7860942667,23.955197996,25.1048170217,46.2803548632,35.4069062645,2... | 1997-03-13 00:00:00 | 1997-08-27 00:00:00 | 50.1575043585,43.662540009,27.9600228085,28.4164242699,23.1253135356,24.6558910111,36.3943277021,60.4558348962,32.4628592123,30.7491693143,28.5449401577,21.5029450518,26.8366417163,38.7804693349,50.6557297795,36.4509337712,27.1008950579,26.5593556697,16.6535656984,25.1852035021,37.7274129373,52.6623938673,39.9239769397... | 1997-08-28 00:00:00 | 1997-10-22 00:00:00 | , | 0,8,9,10,11,12,13,14,22,23,24,25,26,27,28,36,37,38,39,40,41,42 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-08-28 00:00:00 to 1997-10-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 7 days, periodically every 14 days, starting from 1997-05-02 00:00:00, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future. ... | <history>37.9192009009,36.0067750248,21.6482194388,18.1970730377,13.9248175294,19.0175829269,31.0186859852,36.7143481909,33.8435588637,21.0001993727,21.057342778,20.6874193365,27.7575974149,45.1585141808,36.7819418381,37.374079959,18.2079815694,26.2149327944,27.7860942667,23.955197996,25.1048170217,46.2803548632,35.406... |
CIK/future/item44 | CIK | future | D | 22.6553089193,12.7818297352,11.857827131,20.957922512,20.1687491151,16.0343068332,11.2047675642,13.9838200149,-0.039482507,-0.0519278686,-0.2365158188,0.7120523287,21.6889527141,11.3515170644,15.9192495061,13.5458740048,16.0834675214,19.3280238683,22.9227956701,19.5133166015,15.3409193593,14.9838835746,2.3974809143,0.2... | 1996-07-14 00:00:00 | 1996-11-02 00:00:00 | 12.0719284125,9.649466624,10.8386282045,12.6642069977,17.3357106673,17.8100702993,12.2797308106,11.2419985079,8.5474629541,10.0889037881,11.6582614054,15.8000975626,7.3809751596,11.8817631824,8.5458443812,6.991796959,8.6980920335,11.6160094046,15.134354998,19.5086434832,9.0205238606,9.2069782484,12.3143380839,7.0554165... | 1996-11-03 00:00:00 | 1996-12-28 00:00:00 | , | 1,2,3,4,16,17,18,19,31,32,33,34,46,47,48,49 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-03 00:00:00 to 1996-12-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 4 days, periodically every 15 days, starting from 1996-07-22 00:00:00, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future. ... | <history>22.6553089193,12.7818297352,11.857827131,20.957922512,20.1687491151,16.0343068332,11.2047675642,13.9838200149,-0.039482507,-0.0519278686,-0.2365158188,0.7120523287,21.6889527141,11.3515170644,15.9192495061,13.5458740048,16.0834675214,19.3280238683,22.9227956701,19.5133166015,15.3409193593,14.9838835746,2.39748... |
CIK/future/item45 | CIK | future | D | 31.122501499,41.6604530533,28.0595869941,19.79040905,22.1464820253,19.1432663383,24.3165843031,31.7331246941,38.4728872702,26.5820070488,16.7441876249,19.7346019934,19.7200678901,18.2671597189,30.3546992929,39.1701689871,29.0690737019,16.5334044622,20.3346991501,19.3424233394,21.163334877,29.0047080963,43.8598533664,30... | 1996-05-29 00:00:00 | 1996-11-12 00:00:00 | 29.8624128638,39.2815935556,37.0513358742,24.2783073932,20.9533626081,14.8815312198,23.6438709762,32.2021342162,41.0871384792,33.0529487324,18.6016231428,23.2917768959,20.8270421758,19.1249565384,31.9595316865,40.5877432405,34.6887820282,11.3783244227,57.3143784538,19.1904266724,24.6345164589,25.2826763303,40.346222479... | 1996-11-13 00:00:00 | 1997-01-07 00:00:00 | , | 0,1,2,3,12,13,14,15,16,17,18,27,28,29,30,31,32,33,42,43,44,45,46,47,48 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-13 00:00:00 to 1997-01-07 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for various periods, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future.
| <history>31.122501499,41.6604530533,28.0595869941,19.79040905,22.1464820253,19.1432663383,24.3165843031,31.7331246941,38.4728872702,26.5820070488,16.7441876249,19.7346019934,19.7200678901,18.2671597189,30.3546992929,39.1701689871,29.0690737019,16.5334044622,20.3346991501,19.3424233394,21.163334877,29.0047080963,43.8598... |
CIK/future/item46 | CIK | future | D | 27.6740903266,21.5446995009,11.1547503362,18.9014206013,16.9952641406,21.0278605018,19.9284706507,25.807568274,22.5940734874,15.5903422453,14.6767309627,11.7255036324,14.6561091223,16.2836700398,24.731795548,23.349391712,13.7789264469,11.8294106003,13.042932093,15.3589358414,21.4962376892,31.2695408865,25.7782085757,16... | 1997-07-24 00:00:00 | 1998-01-07 00:00:00 | 27.1767751563,22.9276935053,13.515230708,13.6311084267,8.4650116439,12.1123825331,20.3628655634,31.7413473031,18.5367709863,0.1032502808,10.2362319665,10.3972262386,16.8560689919,21.9820064785,28.7919131669,25.3711927466,13.2726976935,15.1224453475,11.9035755067,16.0326878787,22.7783220678,32.0437608924,21.6601300759,1... | 1998-01-08 00:00:00 | 1998-03-04 00:00:00 | , | 7,8,9,10,19,20,21,22,31,32,33,34,43,44,45,46 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1998-01-08 00:00:00 to 1998-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for various periods, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future.
| <history>27.6740903266,21.5446995009,11.1547503362,18.9014206013,16.9952641406,21.0278605018,19.9284706507,25.807568274,22.5940734874,15.5903422453,14.6767309627,11.7255036324,14.6561091223,16.2836700398,24.731795548,23.349391712,13.7789264469,11.8294106003,13.042932093,15.3589358414,21.4962376892,31.2695408865,25.7782... |
CIK/future/item47 | CIK | future | D | 26.8124041887,7.5620102148,13.8634113649,13.6304762615,14.5301439633,16.329274092,27.3101374727,28.9946186122,-0.1048361462,0.0200112291,-0.4912609968,0.1200955838,-0.4917355253,-0.1928526308,-0.1692716315,12.9214801832,17.5926099945,15.5948597957,18.9910048503,20.3473180355,24.5410114355,35.2712676431,0.2016411056,0.0... | 1996-11-22 00:00:00 | 1997-03-13 00:00:00 | 21.05471373,6.809713593,12.656364801,11.8317726301,11.117821392,17.1104362941,21.7183650914,23.6067226341,6.3288757264,18.209582624,17.2606664828,17.0332626484,30.504796479,15.8473843618,29.4680317342,8.7184262683,7.8509676036,18.8465132531,15.9839833826,18.5942899476,22.201495913,21.8110737455,6.5522318248,14.98429468... | 1997-03-14 00:00:00 | 1997-05-08 00:00:00 | , | 0,8,9,10,11,12,13,14,22,23,24,25,26,27,28,36,37,38,39,40,41,42 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-03-14 00:00:00 to 1997-05-08 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for various periods, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future.
| <history>26.8124041887,7.5620102148,13.8634113649,13.6304762615,14.5301439633,16.329274092,27.3101374727,28.9946186122,-0.1048361462,0.0200112291,-0.4912609968,0.1200955838,-0.4917355253,-0.1928526308,-0.1692716315,12.9214801832,17.5926099945,15.5948597957,18.9910048503,20.3473180355,24.5410114355,35.2712676431,0.20164... |
CIK/future/item48 | CIK | future | D | 37.9192009009,36.0067750248,21.6482194388,18.1970730377,13.9248175294,19.0175829269,31.0186859852,36.7143481909,33.8435588637,21.0001993727,21.057342778,20.6874193365,27.7575974149,45.1585141808,36.7819418381,37.374079959,18.2079815694,26.2149327944,27.7860942667,23.955197996,25.1048170217,46.2803548632,35.4069062645,2... | 1997-03-13 00:00:00 | 1997-08-27 00:00:00 | 50.1575043585,43.662540009,27.9600228085,28.4164242699,23.1253135356,24.6558910111,36.3943277021,60.4558348962,32.4628592123,30.7491693143,28.5449401577,21.5029450518,26.8366417163,38.7804693349,50.6557297795,36.4509337712,27.1008950579,26.5593556697,16.6535656984,25.1852035021,37.7274129373,52.6623938673,39.9239769397... | 1997-08-28 00:00:00 | 1997-10-22 00:00:00 | , | 0,8,9,10,11,12,13,14,22,23,24,25,26,27,28,36,37,38,39,40,41,42 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-08-28 00:00:00 to 1997-10-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for various periods, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future.
| <history>37.9192009009,36.0067750248,21.6482194388,18.1970730377,13.9248175294,19.0175829269,31.0186859852,36.7143481909,33.8435588637,21.0001993727,21.057342778,20.6874193365,27.7575974149,45.1585141808,36.7819418381,37.374079959,18.2079815694,26.2149327944,27.7860942667,23.955197996,25.1048170217,46.2803548632,35.406... |
CIK/future/item49 | CIK | future | D | 22.6553089193,12.7818297352,11.857827131,20.957922512,20.1687491151,16.0343068332,11.2047675642,13.9838200149,-0.039482507,-0.0519278686,-0.2365158188,0.7120523287,21.6889527141,11.3515170644,15.9192495061,13.5458740048,16.0834675214,19.3280238683,22.9227956701,19.5133166015,15.3409193593,14.9838835746,2.3974809143,0.2... | 1996-07-14 00:00:00 | 1996-11-02 00:00:00 | 12.0719284125,9.649466624,10.8386282045,12.6642069977,17.3357106673,17.8100702993,12.2797308106,11.2419985079,8.5474629541,10.0889037881,11.6582614054,15.8000975626,7.3809751596,11.8817631824,8.5458443812,6.991796959,8.6980920335,11.6160094046,15.134354998,19.5086434832,9.0205238606,9.2069782484,12.3143380839,7.0554165... | 1996-11-03 00:00:00 | 1996-12-28 00:00:00 | , | 1,2,3,4,16,17,18,19,31,32,33,34,46,47,48,49 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-03 00:00:00 to 1996-12-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for various periods, resulting in no withdrawals recorded. Assume that the ATM will not be in maintenance in the future.
| <history>22.6553089193,12.7818297352,11.857827131,20.957922512,20.1687491151,16.0343068332,11.2047675642,13.9838200149,-0.039482507,-0.0519278686,-0.2365158188,0.7120523287,21.6889527141,11.3515170644,15.9192495061,13.5458740048,16.0834675214,19.3280238683,22.9227956701,19.5133166015,15.3409193593,14.9838835746,2.39748... |
CIK/future/item50 | CIK | future | D | 31.122501499,41.6604530533,28.0595869941,19.79040905,22.1464820253,19.1432663383,24.3165843031,31.7331246941,38.4728872702,26.5820070488,16.7441876249,19.7346019934,19.7200678901,18.2671597189,30.3546992929,39.1701689871,29.0690737019,16.5334044622,20.3346991501,19.3424233394,21.163334877,29.0047080963,43.8598533664,30... | 1996-05-29 00:00:00 | 1996-11-12 00:00:00 | 29.8624128638,39.2815935556,37.0513358742,24.2783073932,20.9533626081,14.8815312198,23.6438709762,32.2021342162,41.0871384792,33.0529487324,18.6016231428,23.2917768959,20.8270421758,19.1249565384,31.9595316865,40.5877432405,34.6887820282,11.3783244227,57.3143784538,19.1904266724,24.6345164589,25.2826763303,40.346222479... | 1996-11-13 00:00:00 | 1997-01-07 00:00:00 | , | 0,1,2,3,12,13,14,15,16,17,18,27,28,29,30,31,32,33,42,43,44,45,46,47,48 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-13 00:00:00 to 1997-01-07 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 7 days, periodically every 15 days, starting from 1996-08-12 00:00:00. Assume that the ATM will not be in maintenance in the future.
| <history>31.122501499,41.6604530533,28.0595869941,19.79040905,22.1464820253,19.1432663383,24.3165843031,31.7331246941,38.4728872702,26.5820070488,16.7441876249,19.7346019934,19.7200678901,18.2671597189,30.3546992929,39.1701689871,29.0690737019,16.5334044622,20.3346991501,19.3424233394,21.163334877,29.0047080963,43.8598... |
CIK/future/item51 | CIK | future | D | 27.6740903266,21.5446995009,11.1547503362,18.9014206013,16.9952641406,21.0278605018,19.9284706507,25.807568274,22.5940734874,15.5903422453,14.6767309627,11.7255036324,14.6561091223,16.2836700398,24.731795548,23.349391712,13.7789264469,11.8294106003,13.042932093,15.3589358414,21.4962376892,31.2695408865,25.7782085757,16... | 1997-07-24 00:00:00 | 1998-01-07 00:00:00 | 27.1767751563,22.9276935053,13.515230708,13.6311084267,8.4650116439,12.1123825331,20.3628655634,31.7413473031,18.5367709863,0.1032502808,10.2362319665,10.3972262386,16.8560689919,21.9820064785,28.7919131669,25.3711927466,13.2726976935,15.1224453475,11.9035755067,16.0326878787,22.7783220678,32.0437608924,21.6601300759,1... | 1998-01-08 00:00:00 | 1998-03-04 00:00:00 | , | 7,8,9,10,19,20,21,22,31,32,33,34,43,44,45,46 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1998-01-08 00:00:00 to 1998-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 4 days, periodically every 12 days, starting from 1997-09-05 00:00:00. Assume that the ATM will not be in maintenance in the future.
| <history>27.6740903266,21.5446995009,11.1547503362,18.9014206013,16.9952641406,21.0278605018,19.9284706507,25.807568274,22.5940734874,15.5903422453,14.6767309627,11.7255036324,14.6561091223,16.2836700398,24.731795548,23.349391712,13.7789264469,11.8294106003,13.042932093,15.3589358414,21.4962376892,31.2695408865,25.7782... |
CIK/future/item52 | CIK | future | D | 26.8124041887,7.5620102148,13.8634113649,13.6304762615,14.5301439633,16.329274092,27.3101374727,28.9946186122,-0.1048361462,0.0200112291,-0.4912609968,0.1200955838,-0.4917355253,-0.1928526308,-0.1692716315,12.9214801832,17.5926099945,15.5948597957,18.9910048503,20.3473180355,24.5410114355,35.2712676431,0.2016411056,0.0... | 1996-11-22 00:00:00 | 1997-03-13 00:00:00 | 21.05471373,6.809713593,12.656364801,11.8317726301,11.117821392,17.1104362941,21.7183650914,23.6067226341,6.3288757264,18.209582624,17.2606664828,17.0332626484,30.504796479,15.8473843618,29.4680317342,8.7184262683,7.8509676036,18.8465132531,15.9839833826,18.5942899476,22.201495913,21.8110737455,6.5522318248,14.98429468... | 1997-03-14 00:00:00 | 1997-05-08 00:00:00 | , | 0,8,9,10,11,12,13,14,22,23,24,25,26,27,28,36,37,38,39,40,41,42 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-03-14 00:00:00 to 1997-05-08 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 7 days, periodically every 14 days, starting from 1996-11-30 00:00:00. Assume that the ATM will not be in maintenance in the future.
| <history>26.8124041887,7.5620102148,13.8634113649,13.6304762615,14.5301439633,16.329274092,27.3101374727,28.9946186122,-0.1048361462,0.0200112291,-0.4912609968,0.1200955838,-0.4917355253,-0.1928526308,-0.1692716315,12.9214801832,17.5926099945,15.5948597957,18.9910048503,20.3473180355,24.5410114355,35.2712676431,0.20164... |
CIK/future/item53 | CIK | future | D | 37.9192009009,36.0067750248,21.6482194388,18.1970730377,13.9248175294,19.0175829269,31.0186859852,36.7143481909,33.8435588637,21.0001993727,21.057342778,20.6874193365,27.7575974149,45.1585141808,36.7819418381,37.374079959,18.2079815694,26.2149327944,27.7860942667,23.955197996,25.1048170217,46.2803548632,35.4069062645,2... | 1997-03-13 00:00:00 | 1997-08-27 00:00:00 | 50.1575043585,43.662540009,27.9600228085,28.4164242699,23.1253135356,24.6558910111,36.3943277021,60.4558348962,32.4628592123,30.7491693143,28.5449401577,21.5029450518,26.8366417163,38.7804693349,50.6557297795,36.4509337712,27.1008950579,26.5593556697,16.6535656984,25.1852035021,37.7274129373,52.6623938673,39.9239769397... | 1997-08-28 00:00:00 | 1997-10-22 00:00:00 | , | 0,8,9,10,11,12,13,14,22,23,24,25,26,27,28,36,37,38,39,40,41,42 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-08-28 00:00:00 to 1997-10-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 7 days, periodically every 14 days, starting from 1997-05-02 00:00:00. Assume that the ATM will not be in maintenance in the future.
| <history>37.9192009009,36.0067750248,21.6482194388,18.1970730377,13.9248175294,19.0175829269,31.0186859852,36.7143481909,33.8435588637,21.0001993727,21.057342778,20.6874193365,27.7575974149,45.1585141808,36.7819418381,37.374079959,18.2079815694,26.2149327944,27.7860942667,23.955197996,25.1048170217,46.2803548632,35.406... |
CIK/future/item54 | CIK | future | D | 22.6553089193,12.7818297352,11.857827131,20.957922512,20.1687491151,16.0343068332,11.2047675642,13.9838200149,-0.039482507,-0.0519278686,-0.2365158188,0.7120523287,21.6889527141,11.3515170644,15.9192495061,13.5458740048,16.0834675214,19.3280238683,22.9227956701,19.5133166015,15.3409193593,14.9838835746,2.3974809143,0.2... | 1996-07-14 00:00:00 | 1996-11-02 00:00:00 | 12.0719284125,9.649466624,10.8386282045,12.6642069977,17.3357106673,17.8100702993,12.2797308106,11.2419985079,8.5474629541,10.0889037881,11.6582614054,15.8000975626,7.3809751596,11.8817631824,8.5458443812,6.991796959,8.6980920335,11.6160094046,15.134354998,19.5086434832,9.0205238606,9.2069782484,12.3143380839,7.0554165... | 1996-11-03 00:00:00 | 1996-12-28 00:00:00 | , | 1,2,3,4,16,17,18,19,31,32,33,34,46,47,48,49 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-03 00:00:00 to 1996-12-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England. The ATM was under maintenance for 4 days, periodically every 15 days, starting from 1996-07-22 00:00:00. Assume that the ATM will not be in maintenance in the future.
| <history>22.6553089193,12.7818297352,11.857827131,20.957922512,20.1687491151,16.0343068332,11.2047675642,13.9838200149,-0.039482507,-0.0519278686,-0.2365158188,0.7120523287,21.6889527141,11.3515170644,15.9192495061,13.5458740048,16.0834675214,19.3280238683,22.9227956701,19.5133166015,15.3409193593,14.9838835746,2.39748... |
CIK/future/item55 | CIK | future | D | 31.6268342674,41.9621782458,28.1045585336,19.0707972221,22.8230046303,18.5798780728,25.4859474707,31.1945114641,38.8012877832,26.6353959988,16.6899792209,19.2804711329,19.7611564295,18.0034093955,30.0113577384,38.5444597503,28.6257371672,16.673576773,19.8739545781,19.5091142816,21.4820118756,29.1794847207,43.7323731042... | 1996-05-29 00:00:00 | 1996-11-12 00:00:00 | 28.9474825502,40.624613057,40.2990301851,24.0721281798,21.0451620571,14.4918742936,25.7133157852,31.8598955215,41.5740080219,131.7899255184,75.4675635399,93.145370253,82.787358054,78.5838481686,127.8063808398,160.8305825631,138.0790815063,48.6076651551,229.2143598249,76.8337913849,26.3869974514,26.0543260112,42.9299210... | 1996-11-13 00:00:00 | 1997-01-07 00:00:00 | , | 9,10,11,12,13,14,15,16,17,18,19 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-13 00:00:00 to 1997-01-07 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Suppose that there is a carnival from 1996-11-22 00:00:00, for 11 days leading to more people in the area, and 4 times the number of usual withdrawals during that period.
| <history>31.6268342674,41.9621782458,28.1045585336,19.0707972221,22.8230046303,18.5798780728,25.4859474707,31.1945114641,38.8012877832,26.6353959988,16.6899792209,19.2804711329,19.7611564295,18.0034093955,30.0113577384,38.5444597503,28.6257371672,16.673576773,19.8739545781,19.5091142816,21.4820118756,29.1794847207,43.7... |
CIK/future/item56 | CIK | future | D | 27.8018432358,22.0226051271,11.6292005472,18.8935826373,17.4782461203,20.4670736981,19.9728767327,26.3954333143,22.9551558674,16.0734621394,15.5333652731,11.8688739629,14.5791997199,15.7336383598,24.0242923362,23.2671636961,13.6135278569,12.0136462513,13.0749066563,15.2462565344,21.5810828907,31.1961944965,25.958891961... | 1997-07-24 00:00:00 | 1998-01-07 00:00:00 | 27.4897399913,22.6842310172,13.4649078228,13.5856095457,8.2805475988,11.7505171259,19.893298489,32.9347878697,18.0161332172,0.4552526569,10.0224947414,10.3639123074,16.3485148011,22.3616888255,28.5467768948,25.2983018455,12.9952152279,14.6136304326,11.6738947755,16.372375357,23.2753812725,33.0429974477,107.8601585538,5... | 1998-01-08 00:00:00 | 1998-03-04 00:00:00 | , | 22,23,24,25 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1998-01-08 00:00:00 to 1998-03-04 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Suppose that there is a celebration from 1998-01-30 00:00:00, for 4 days leading to more people in the area, and 5 times the number of usual withdrawals during that period.
| <history>27.8018432358,22.0226051271,11.6292005472,18.8935826373,17.4782461203,20.4670736981,19.9728767327,26.3954333143,22.9551558674,16.0734621394,15.5333652731,11.8688739629,14.5791997199,15.7336383598,24.0242923362,23.2671636961,13.6135278569,12.0136462513,13.0749066563,15.2462565344,21.5810828907,31.1961944965,25.... |
CIK/future/item57 | CIK | future | D | 26.0798168168,8.0346910942,13.91242301,13.5922298444,13.7007281051,16.6219267426,26.65918957,29.290408331,12.0468242943,29.248819718,14.8458285031,17.0056772103,18.915743193,24.253561329,27.9246438248,12.4985046713,17.1454733195,16.1119391079,19.601221246,19.9696193277,24.5581684436,35.8606912474,12.7919708692,20.23923... | 1996-11-22 00:00:00 | 1997-03-13 00:00:00 | 21.0760352577,7.1849032618,12.5901917537,11.4258807583,11.3366569105,17.3356002772,21.5277782498,23.3399121792,19.7800417413,54.4849982987,51.4638157269,51.3262781028,92.719610539,47.9858575093,88.3697473797,9.5262188544,7.790973129,19.4131721535,15.6979163853,18.3965422422,22.0524185387,22.2444343058,6.446504094,15.29... | 1997-03-14 00:00:00 | 1997-05-08 00:00:00 | , | 8,9,10,11,12,13,14 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-03-14 00:00:00 to 1997-05-08 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Suppose that there is a festival from 1997-03-22 00:00:00, for 7 days leading to more people in the area, and 3 times the number of usual withdrawals during that period.
| <history>26.0798168168,8.0346910942,13.91242301,13.5922298444,13.7007281051,16.6219267426,26.65918957,29.290408331,12.0468242943,29.248819718,14.8458285031,17.0056772103,18.915743193,24.253561329,27.9246438248,12.4985046713,17.1454733195,16.1119391079,19.601221246,19.9696193277,24.5581684436,35.8606912474,12.7919708692... |
CIK/future/item58 | CIK | future | D | 38.1057650281,35.9560116507,21.5191862274,18.3762275741,13.8798630323,18.881269264,30.7991655743,37.0063275776,33.6276032757,21.0751276103,21.3164473229,20.5625690024,27.5596844894,45.0669488838,36.7959849916,37.2575997372,18.3356793749,26.2321785427,27.7461346148,23.9905986043,25.0974646491,46.272233829,35.5316745279,... | 1997-03-13 00:00:00 | 1997-08-27 00:00:00 | 49.8959705361,41.9406732434,26.6144379479,27.7775227744,22.6822661365,25.764847446,35.7511982188,59.4262681432,162.4074839267,153.6613941491,142.7907953388,107.5139423909,134.1401522229,193.7397024126,253.2334643439,182.3814345383,135.4087041686,132.8283659897,83.3689446117,23.9043138149,39.014424189,52.3336945312,40.7... | 1997-08-28 00:00:00 | 1997-10-22 00:00:00 | , | 8,9,10,11,12,13,14,15,16,17,18 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1997-08-28 00:00:00 to 1997-10-22 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Suppose that there is a carnival from 1997-09-05 00:00:00, for 11 days leading to more people in the area, and 5 times the number of usual withdrawals during that period.
| <history>38.1057650281,35.9560116507,21.5191862274,18.3762275741,13.8798630323,18.881269264,30.7991655743,37.0063275776,33.6276032757,21.0751276103,21.3164473229,20.5625690024,27.5596844894,45.0669488838,36.7959849916,37.2575997372,18.3356793749,26.2321785427,27.7461346148,23.9905986043,25.0974646491,46.272233829,35.53... |
CIK/future/item59 | CIK | future | D | 22.6691065662,12.836636228,11.8717945432,21.11039322,20.094811945,15.9997168239,11.1502091371,14.0369518072,11.9799459554,14.2597380503,13.0161759462,21.8684844041,21.6838033854,11.3130662523,15.7829647109,13.5625291806,16.0583620217,19.253788173,23.0609712187,19.4470915288,15.2758229694,14.9445723721,2.3333030927,22.2... | 1996-07-14 00:00:00 | 1996-11-02 00:00:00 | 12.0784116234,9.6613853757,10.9080696967,12.6436277099,17.4327271044,17.8324529605,12.2097433347,11.2955451483,8.5880865023,30.3025373294,35.0820018497,47.04121319,22.1185971622,11.7815145798,8.57197069,6.9416496971,8.7349863348,11.6452446857,15.1809009584,19.5321151013,9.0814389077,9.2691087836,12.2554915379,7.0178176... | 1996-11-03 00:00:00 | 1996-12-28 00:00:00 | , | 9,10,11,12 | 56 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 56 future values in the range from 1996-11-03 00:00:00 to 1996-12-28 00:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is the number of cash withdrawals from an automated teller machine (ATM) in an arbitrary location in England.Suppose that there is a festival from 1996-11-12 00:00:00, for 4 days leading to more people in the area, and 3 times the number of usual withdrawals during that period.
| <history>22.6691065662,12.836636228,11.8717945432,21.11039322,20.094811945,15.9997168239,11.1502091371,14.0369518072,11.9799459554,14.2597380503,13.0161759462,21.8684844041,21.6838033854,11.3130662523,15.7829647109,13.5625291806,16.0583620217,19.253788173,23.0609712187,19.4470915288,15.2758229694,14.9445723721,2.333303... |
CIK/future/item60 | CIK | future | H | 0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,1.5,1.8,1... | 2024-01-11 00:00:00 | 2024-01-17 23:00:00 | 1.0,1.3,2.1,5.5,17.7,34.1,7.52,7.52,7.52,7.52,7.52,6.2,6.0,5.4,4.8,4.6,4.7,4.8,3.4,2.6,2.6,2.1,1.8,1.2 | 2024-01-18 00:00:00 | 2024-01-18 23:00:00 | , | 6,7,8,9,10 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-18 00:00:00 to 2024-01-18 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is hourly traffic data.Suppose that there is an accident on the road and there is 20.0% of the usual traffic from 2024-01-18 06:00:00 for 5 hours.
| <history>0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,... |
CIK/future/item61 | CIK | future | H | 0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5,0.6,0.5,... | 2024-04-17 13:00:00 | 2024-04-24 12:00:00 | 0.6,0.8,0.9,1.3,0.56,0.56,0.56,0.56,0.56,0.56,1.0,0.3,0.1,0.1,0.0,0.1,0.2,0.3,0.5,0.6,0.4,0.5,0.5,0.6 | 2024-04-24 13:00:00 | 2024-04-25 12:00:00 | , | 4,5,6,7,8,9 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-24 13:00:00 to 2024-04-25 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is hourly traffic data.Suppose that there is an accident on the road and there is 40.0% of the usual traffic from 2024-04-24 17:00:00 for 6 hours.
| <history>0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5... |
CIK/future/item62 | CIK | future | H | 1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9,1.1,1.0,... | 2024-03-11 14:00:00 | 2024-03-18 13:00:00 | 1.5,1.3,1.1,0.8,0.7,0.6,0.5,0.6,0.5,0.4,0.3,0.4,0.4,0.3,0.5,0.7,1.1,1.0,1.1,0.12,0.12,1.1,1.3,1.1 | 2024-03-18 14:00:00 | 2024-03-19 13:00:00 | , | 19,20 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-18 14:00:00 to 2024-03-19 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is hourly traffic data.Suppose that there is an accident on the road and there is 10.0% of the usual traffic from 2024-03-19 09:00:00 for 2 hours.
| <history>1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9... |
CIK/future/item63 | CIK | future | H | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,9.5,10.2,... | 2024-01-08 11:00:00 | 2024-01-15 10:00:00 | 9.6,9.8,10.0,10.1,10.3,1.09,1.09,1.09,1.09,1.09,1.09,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2 | 2024-01-15 11:00:00 | 2024-01-16 10:00:00 | , | 5,6,7,8,9,10 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-15 11:00:00 to 2024-01-16 10:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is hourly traffic data.Suppose that there is an accident on the road and there is 10.0% of the usual traffic from 2024-01-15 16:00:00 for 6 hours.
| <history>9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,... |
CIK/future/item64 | CIK | future | H | 2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4,3.4,4.2,... | 2024-04-04 04:00:00 | 2024-04-11 03:00:00 | 2.8,5.3,8.5,10.8,7.7,7.6,7.3,7.5,7.7,8.5,9.4,10.1,12.2,3.26,3.26,3.26,3.26,3.26,3.26,2.2,4.5,5.0,6.4,7.4 | 2024-04-11 04:00:00 | 2024-04-12 03:00:00 | , | 13,14,15,16,17,18 | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-11 04:00:00 to 2024-04-12 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. | This is hourly traffic data.Suppose that there is an accident on the road and there is 20.0% of the usual traffic from 2024-04-11 17:00:00 for 6 hours.
| <history>2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4... |
CIK/future/item65 | CIK | future | H | 3.4,3.0,2.9,2.9,2.9,2.9,3.0,3.1,3.1,3.3,3.7,2.7,3.1,2.9,2.9,2.9,2.9,2.5,2.7,2.2,1.9,1.5,1.3,1.2,0.8,0.7,0.5,0.3,0.4,0.5,0.5,0.6,0.8,1.1,1.8,2.6,2.8,3.6,3.2,3.3,3.2,3.9,4.5,4.6,4.3,3.6,3.3,3.0,3.0,2.9,1.6,0.5,0.5,0.7,1.2,1.2,1.4,2.0,2.5,2.4,2.6,2.6,2.9,2.7,2.9,2.6,2.8,2.5,2.3,2.1,2.1,1.9,1.7,3.0,3.3,3.1,3.2,3.2,3.5,3.7,... | 2024-04-12 22:00:00 | 2024-04-19 21:00:00 | 1.8,1.4,1.0,0.8,0.6,0.9,1.0,1.1,2.8,3.5,3.0,2.9,3.2,2.9,3.1,3.0,2.9,2.9,2.8,2.6,2.3,1.8,1.7,1.2 | 2024-04-19 22:00:00 | 2024-04-20 21:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-19 22:00:00 to 2024-04-20 21:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded below by 0.60. | <history>3.4,3.0,2.9,2.9,2.9,2.9,3.0,3.1,3.1,3.3,3.7,2.7,3.1,2.9,2.9,2.9,2.9,2.5,2.7,2.2,1.9,1.5,1.3,1.2,0.8,0.7,0.5,0.3,0.4,0.5,0.5,0.6,0.8,1.1,1.8,2.6,2.8,3.6,3.2,3.3,3.2,3.9,4.5,4.6,4.3,3.6,3.3,3.0,3.0,2.9,1.6,0.5,0.5,0.7,1.2,1.2,1.4,2.0,2.5,2.4,2.6,2.6,2.9,2.7,2.9,2.6,2.8,2.5,2.3,2.1,2.1,1.9,1.7,3.0,3.3,3.1,3.2,3.2... | |
CIK/future/item66 | CIK | future | H | 13.3,13.5,12.8,13.5,13.1,13.7,12.1,10.9,11.5,11.8,3.8,2.9,2.6,2.5,2.4,2.5,2.8,3.2,3.2,3.8,4.7,5.4,8.9,11.0,11.2,14.3,12.5,15.7,13.9,12.4,11.2,11.6,9.6,3.9,3.0,2.3,2.4,2.4,2.5,3.3,6.6,8.7,10.9,12.1,11.1,9.9,4.8,4.3,4.3,4.2,4.6,5.7,18.7,8.8,3.7,3.5,3.5,3.2,2.7,2.4,2.3,2.3,2.5,3.3,6.5,8.7,5.8,9.1,11.0,16.0,21.0,10.3,10.6,... | 2024-04-27 13:00:00 | 2024-05-04 12:00:00 | 8.3,13.2,9.2,6.1,5.2,4.8,4.5,4.4,4.4,4.4,3.6,2.9,2.6,2.4,2.4,2.5,2.8,3.3,3.0,3.7,4.5,5.2,5.2,8.9 | 2024-05-04 13:00:00 | 2024-05-05 12:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-05-04 13:00:00 to 2024-05-05 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded above by 13.20, the values are bounded below by 2.40. | <history>13.3,13.5,12.8,13.5,13.1,13.7,12.1,10.9,11.5,11.8,3.8,2.9,2.6,2.5,2.4,2.5,2.8,3.2,3.2,3.8,4.7,5.4,8.9,11.0,11.2,14.3,12.5,15.7,13.9,12.4,11.2,11.6,9.6,3.9,3.0,2.3,2.4,2.4,2.5,3.3,6.6,8.7,10.9,12.1,11.1,9.9,4.8,4.3,4.3,4.2,4.6,5.7,18.7,8.8,3.7,3.5,3.5,3.2,2.7,2.4,2.3,2.3,2.5,3.3,6.5,8.7,5.8,9.1,11.0,16.0,21.0,1... | |
CIK/future/item67 | CIK | future | H | 0.9,0.1,0.0,0.0,0.0,0.1,0.2,0.7,1.3,1.1,1.0,1.3,1.1,1.1,1.2,1.6,1.5,1.7,1.6,1.3,0.6,0.5,0.3,0.2,0.1,0.1,0.1,0.0,0.0,0.1,0.2,0.7,1.1,1.1,1.2,0.9,1.2,1.1,1.3,1.3,1.5,1.7,1.9,1.2,0.7,0.4,0.4,0.2,0.1,0.1,0.0,0.0,0.0,0.1,0.3,0.6,0.9,1.0,0.9,1.1,0.9,1.1,1.1,1.3,1.6,1.8,1.8,1.2,0.7,0.3,0.3,0.3,0.2,0.1,0.1,0.1,0.0,0.1,0.3,0.6,... | 2024-01-29 23:00:00 | 2024-02-05 22:00:00 | 0.8,0.8,0.8,0.8,0.8,0.8,1.0,1.7,2.2,2.0,2.0,1.8,2.0,1.9,2.3,2.3,2.6,2.7,2.8,2.0,1.5,1.2,1.1,1.0 | 2024-02-05 23:00:00 | 2024-02-06 22:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-02-05 23:00:00 to 2024-02-06 22:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded below by 0.80. | <history>0.9,0.1,0.0,0.0,0.0,0.1,0.2,0.7,1.3,1.1,1.0,1.3,1.1,1.1,1.2,1.6,1.5,1.7,1.6,1.3,0.6,0.5,0.3,0.2,0.1,0.1,0.1,0.0,0.0,0.1,0.2,0.7,1.1,1.1,1.2,0.9,1.2,1.1,1.3,1.3,1.5,1.7,1.9,1.2,0.7,0.4,0.4,0.2,0.1,0.1,0.0,0.0,0.0,0.1,0.3,0.6,0.9,1.0,0.9,1.1,0.9,1.1,1.1,1.3,1.6,1.8,1.8,1.2,0.7,0.3,0.3,0.3,0.2,0.1,0.1,0.1,0.0,0.1... | |
CIK/future/item68 | CIK | future | H | 0.1,0.2,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.3,0.2,0.2,0.1,0.0,0.1,0.0,0.1,0.1,0.1,0.1,0.2,0.1,0.1,0.1,0.1,0.1,0.0,0.1,0.0,0.0,0.0,0.0,0.1,0.2,0.2,0.2,0.1,0.1,0.2,0.1,0.1,0.1,0.2,0.1,0.2,0.1,0.1,0.1,0.2,0.1,0.1,0.1,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.2,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.2,0.2,0.1,0.2,0.2,0.2,... | 2024-03-12 14:00:00 | 2024-03-19 13:00:00 | 0.1,0.2,0.1,0.2,0.1,0.1,0.1,0.1,0.1,0.0,0.0,0.0,0.0,0.0,0.1,0.2,0.2,0.3,0.3,0.2,0.1,0.1,0.1,0.1 | 2024-03-19 14:00:00 | 2024-03-20 13:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-19 14:00:00 to 2024-03-20 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded below by 0.00. | <history>0.1,0.2,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.3,0.2,0.2,0.1,0.0,0.1,0.0,0.1,0.1,0.1,0.1,0.2,0.1,0.1,0.1,0.1,0.1,0.0,0.1,0.0,0.0,0.0,0.0,0.1,0.2,0.2,0.2,0.1,0.1,0.2,0.1,0.1,0.1,0.2,0.1,0.2,0.1,0.1,0.1,0.2,0.1,0.1,0.1,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.2,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.2,0.2,0.1,0.2... | |
CIK/future/item69 | CIK | future | H | 0.1,0.1,0.0,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.4,2.5,2.4,2.6,2.4,2.5,2.5,2.5,2.4,2.4,2.5,2.4,2.5,2.5,2.4,2.4,2.3,2.3,2.3,2.3,2.3,2.3,2.4,2.4,2.6,2.5,2.4,2.4,2.5,2.4,2.4,2.5,2.5,2.4,2.5,2.5,2.4,2.4,2.4,2.3,2.3,0.0,0.0,0.0,0.1,0.1,0.3,0.5,0.9,0.8,0.8,0.7,0.7,1.0,0.9,0.9,1.1,1.0,0.9,0.5,0.3,0.2,0.2,0.0,0.1,0.0,0.0,0.0,0.1,0.1,... | 2024-05-04 21:00:00 | 2024-05-11 20:00:00 | 1.4,1.4,1.4,1.4,1.3,1.3,1.3,1.3,1.3,1.4,1.5,1.5,1.6,1.6,1.6,1.7,1.6,1.7,1.7,1.6,1.8,1.6,1.5,1.5 | 2024-05-11 21:00:00 | 2024-05-12 20:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-05-11 21:00:00 to 2024-05-12 20:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded above by 1.80, the values are bounded below by 1.30. | <history>0.1,0.1,0.0,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.4,2.5,2.4,2.6,2.4,2.5,2.5,2.5,2.4,2.4,2.5,2.4,2.5,2.5,2.4,2.4,2.3,2.3,2.3,2.3,2.3,2.3,2.4,2.4,2.6,2.5,2.4,2.4,2.5,2.4,2.4,2.5,2.5,2.4,2.5,2.5,2.4,2.4,2.4,2.3,2.3,0.0,0.0,0.0,0.1,0.1,0.3,0.5,0.9,0.8,0.8,0.7,0.7,1.0,0.9,0.9,1.1,1.0,0.9,0.5,0.3,0.2,0.2,0.0,0.1,0.0,0.0,0.0... | |
CIK/future/item70 | CIK | future | H | 0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,1.5,1.8,1... | 2024-01-11 00:00:00 | 2024-01-17 23:00:00 | 1.0,1.3,2.1,5.5,6.29,6.29,6.29,6.29,6.29,6.29,6.29,6.2,6.0,5.4,4.8,4.6,4.7,4.8,3.4,2.6,2.6,2.1,1.8,1.2 | 2024-01-18 00:00:00 | 2024-01-18 23:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-18 00:00:00 to 2024-01-18 23:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded above by 6.29. | <history>0.8,1.3,2.1,5.3,19.0,35.0,38.5,35.3,8.6,7.2,6.0,5.5,5.2,5.0,4.4,4.7,4.9,4.5,3.8,2.9,2.6,2.3,1.7,1.2,1.1,1.2,2.1,5.0,10.2,9.8,29.4,11.5,7.5,7.1,6.6,6.3,5.8,5.6,5.3,5.0,5.3,5.0,4.5,3.4,2.9,2.7,2.1,1.3,1.1,0.9,1.1,1.6,2.2,2.7,3.3,3.6,4.4,5.7,6.2,6.4,6.2,6.0,5.7,5.6,5.7,5.2,4.2,3.4,3.1,2.7,2.4,1.4,1.0,0.8,0.9,1.2,... | |
CIK/future/item71 | CIK | future | H | 0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5,0.6,0.5,... | 2024-04-17 13:00:00 | 2024-04-24 12:00:00 | 0.6,0.6,0.6,0.6,0.6,0.6,0.4,0.4,0.5,0.3,0.6,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.5,0.6,0.4,0.5,0.5,0.6 | 2024-04-24 13:00:00 | 2024-04-25 12:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-24 13:00:00 to 2024-04-25 12:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded above by 0.60, the values are bounded below by 0.30. | <history>0.6,0.8,0.9,1.3,1.3,0.6,0.5,0.3,0.3,0.2,0.1,0.1,0.0,0.0,0.1,0.1,0.2,0.3,0.6,0.5,0.4,0.5,0.5,0.6,0.7,0.8,0.8,1.3,1.1,0.6,0.4,0.3,0.2,0.5,0.5,0.4,0.2,0.3,0.4,0.5,0.2,0.3,0.4,0.6,0.5,0.5,0.5,0.7,0.7,0.8,0.8,0.8,0.9,0.6,0.4,0.4,0.5,0.4,0.3,0.2,0.1,0.1,0.1,0.1,0.0,0.1,0.2,0.3,0.3,0.2,0.3,0.4,0.4,0.6,0.7,0.5,0.7,0.5... | |
CIK/future/item72 | CIK | future | H | 1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9,1.1,1.0,... | 2024-03-11 14:00:00 | 2024-03-18 13:00:00 | 1.1,1.1,1.1,0.8,0.7,0.6,0.5,0.6,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.7,1.1,1.0,1.1,1.1,1.1,1.1,1.1,1.1 | 2024-03-18 14:00:00 | 2024-03-19 13:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-03-18 14:00:00 to 2024-03-19 13:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded below by 0.50, the values are bounded above by 1.10. | <history>1.3,1.0,1.1,0.8,0.8,0.4,0.5,0.5,0.4,0.4,0.6,0.7,0.4,0.5,0.7,1.3,1.6,1.8,1.8,1.6,2.0,1.7,1.8,1.8,1.7,1.5,1.6,1.2,1.1,0.7,0.7,0.8,0.7,0.4,0.5,0.6,0.5,0.5,0.9,0.9,1.7,1.7,1.9,1.8,1.7,1.4,1.8,1.9,1.7,1.4,1.9,1.2,1.0,0.8,0.7,0.7,0.6,0.5,0.6,0.3,0.5,0.7,0.8,1.2,1.6,1.5,1.9,1.7,2.1,1.7,2.2,2.6,2.3,2.1,1.8,1.6,1.3,0.9... | |
CIK/future/item73 | CIK | future | H | 9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,9.5,10.2,... | 2024-01-08 11:00:00 | 2024-01-15 10:00:00 | 9.6,9.8,9.82,9.82,9.82,9.82,9.82,9.0,7.3,6.4,5.5,5.28,5.28,5.28,5.28,5.28,5.28,5.28,5.4,8.9,9.82,9.82,9.6,9.2 | 2024-01-15 11:00:00 | 2024-01-16 10:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-01-15 11:00:00 to 2024-01-16 10:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded below by 5.28, the values are bounded above by 9.82. | <history>9.6,9.8,10.0,10.1,10.3,10.9,13.2,9.0,7.3,6.4,5.5,4.2,2.7,1.7,1.1,0.9,1.0,2.3,5.4,8.9,10.7,10.5,9.6,9.2,9.7,10.0,10.2,10.5,10.7,11.9,14.5,10.0,7.6,6.7,5.8,4.6,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,11.0,10.7,10.0,9.5,10.1,10.6,10.6,10.9,11.0,12.3,14.8,10.5,7.8,7.1,6.3,4.8,3.0,1.8,1.2,1.0,1.1,2.4,5.5,9.0,10.9,10.7,9.9,... | |
CIK/future/item74 | CIK | future | H | 2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4,3.4,4.2,... | 2024-04-04 04:00:00 | 2024-04-11 03:00:00 | 5.27,5.3,7.78,7.78,7.7,7.6,7.3,7.5,7.7,7.78,7.78,7.78,7.78,7.78,6.6,5.3,5.27,5.27,5.27,5.27,5.27,5.27,6.4,7.4 | 2024-04-11 04:00:00 | 2024-04-12 03:00:00 | , | 24 | You are a helpful assistant for time series forecasting. Think step by step to make a prediction. | Predict 24 future values in the range from 2024-04-11 04:00:00 to 2024-04-12 03:00:00.
The final result must be enclosed by '\boxed{' and '}', and where values are separated by ','. |
Suppose that in the forecast, the values are bounded below by 5.27, the values are bounded above by 7.78. | <history>2.7,5.2,7.7,14.4,8.0,7.2,6.9,7.2,7.9,9.0,11.4,16.7,25.0,24.4,7.4,5.3,4.9,4.1,3.1,2.5,1.8,1.6,1.5,2.0,2.7,5.0,7.1,10.0,7.8,7.9,8.2,8.3,8.8,10.5,23.8,22.1,24.5,24.7,12.4,6.8,5.7,4.8,3.9,2.6,1.9,1.5,1.5,1.5,1.8,3.0,3.7,5.1,6.6,7.2,7.8,8.5,8.2,9.5,9.8,9.5,9.9,8.1,7.1,6.6,5.8,5.6,4.7,2.9,2.2,1.8,1.4,1.0,1.1,2.0,2.4... |
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