Datasets:

gft
/

ttm4hvac-source-all-train

time stringdate 2019-01-01 00:00:00 2019-12-31 23:45:00	Outdoor Air Temperature (C) float64 -13.9 42	Heating Setpoint (C) float64 10 23.3	Cooling Setpoint (C) float64 22.5 40	Room Air Temperature (C) float64 8.77 35	Outdoor Humidity (%) float64 3 100	Wind Speed (m/s) float64 0 17.5	Direct Solar Radiation (W/m^2) float64 0 1.03k	HVAC Power Consumption (W) float64 20 871k	is_default bool 2 classes
2019-01-01 00:00:00	3.15	13.073122	24.270164	18.945633	93	0.65	0	96.85838	false
2019-01-01 00:15:00	4.075	12	24.921984	18.855467	93.5	0.325	0	127.47386	false
2019-01-01 00:30:00	5	12	24.870577	18.773378	94	0	0	156.1336	false
2019-01-01 00:45:00	5.125	13.246161	24.631392	18.69623	93.75	0	0	183.73726	false
2019-01-01 01:00:00	5.25	13.090104	25.185616	18.624104	93.5	0	0	209.07198	false
2019-01-01 01:15:00	5.375	12.161638	24.742609	18.557585	93.25	0	0	232.19963	false
2019-01-01 01:30:00	5.5	14.671763	24.52142	18.49672	93	0	0	253.11432	false
2019-01-01 01:45:00	5.625	13.824336	25.024158	18.44141	93.5	0	0	272.01675	false
2019-01-01 02:00:00	5.75	15.717453	25.07757	18.390991	94	0	0	289.03534	false
2019-01-01 02:15:00	5.875	15.39276	24.990223	18.345003	94.5	0	0	304.4274	false
2019-01-01 02:30:00	6	14.682483	25.343355	18.303108	95	0	0	318.37735	false
2019-01-01 02:45:00	6.125	16.79	25.999092	18.265	94.5	0	0	1,623.4508	false
2019-01-01 03:00:00	6.25	17.04971	26.137924	18.231243	94	0	0	2,088.7383	false
2019-01-01 03:15:00	6.375	13.204674	26.310513	18.203611	93.5	0	0	350.93878	false
2019-01-01 03:30:00	6.5	17.010862	26.31026	18.18395	93	0	0	1,766.563	false
2019-01-01 03:45:00	6.625	17.07524	26.831106	18.169542	93	0	0	1,329.2971	false
2019-01-01 04:00:00	6.75	17.021399	26.673302	18.159111	93	0	0	869.04333	false
2019-01-01 04:15:00	6.875	17.766016	27.41792	18.150164	93	0	0	4,578.597	false
2019-01-01 04:30:00	7	18.533371	28.185274	18.533361	93	0	0	6,475.0576	false
2019-01-01 04:45:00	6.75	19.147133	28.799036	19.146578	94.75	0.65	0	7,184.6436	false
2019-01-01 05:00:00	6.5	18.928614	28.580517	18.93455	96.5	1.3	0	3,376.0625	false
2019-01-01 05:15:00	6.25	19.247524	28.899427	19.246853	98.25	1.95	0	4,928.2886	false
2019-01-01 05:30:00	6	20.024862	29.676764	19.832493	100	2.6	0	9,011.953	false
2019-01-01 05:45:00	6	20.817669	30	20.205215	96.75	2.6	0	10,063.938	false
2019-01-01 06:00:00	6	21.610882	30	20.480295	93.5	2.6	0	10,504.014	false
2019-01-01 06:15:00	6	20.804695	30	20.717901	90.25	2.6	0	6,576.428	false
2019-01-01 06:30:00	6	21.592506	30	20.931482	87	2.6	0	10,017.439	false
2019-01-01 06:45:00	5.75	22.118565	30	21.102388	88.5	2.6	0	9,556.149	false
2019-01-01 07:00:00	5.5	22.399586	30	21.228981	90	2.6	0	10,543.593	false
2019-01-01 07:15:00	5.25	22.198702	30	21.382452	91.5	2.6	0	8,765.484	false
2019-01-01 07:30:00	5	21.975185	30	21.524256	93	2.6	0	8,368.487	false
2019-01-01 07:45:00	4.75	21.731304	30	22.235714	93	2.6	151.5	2,054.8079	false
2019-01-01 08:00:00	4.5	21.071203	30	22.825392	93	2.6	202	791.38904	false
2019-01-01 08:15:00	4.25	21.92029	30	23.274126	93	2.6	274	1,677.7026	false
2019-01-01 08:30:00	4	22.191889	30	23.635902	93	2.6	346	1,328.2281	false
2019-01-01 08:45:00	4	21.251463	30	24.485989	93	2.6	418	746.63446	false
2019-01-01 09:00:00	4	21.018179	30	25.043379	93	2.6	490	715.2446	false
2019-01-01 09:15:00	4	21.403366	30	25.46417	93	2.6	497	697.3201	false
2019-01-01 09:30:00	4	21.800327	30	25.826168	93	2.6	504	861.47046	false
2019-01-01 09:45:00	4	22.451347	30	26.207481	91.5	2.6	511	891.62286	false
2019-01-01 10:00:00	4	23.158234	30	26.574219	90	2.6	518	878.8556	false
2019-01-01 10:15:00	4	23.25	30	26.883717	88.5	2.6	511.25	835.93726	false
2019-01-01 10:30:00	4	23.25	30	27.193907	87	2.6	504.5	778.1747	false
2019-01-01 10:45:00	3.75	23.25	30	27.324364	88.5	2.6	497.75	731.5506	false
2019-01-01 11:00:00	3.5	23.25	30	27.512352	90	2.6	491	700.33295	false
2019-01-01 11:15:00	3.25	23.25	30	27.698118	91.5	2.6	454.75	638.76733	false
2019-01-01 11:30:00	3	23.25	30	27.896685	93	2.6	418.5	583.04175	false
2019-01-01 11:45:00	3	23.25	30	27.845217	91.5	2.85	382.25	545.74414	false
2019-01-01 12:00:00	3	23.25	30	27.807064	90	3.1	346	539.79	false
2019-01-01 12:15:00	3	23.25	30	27.817747	88.5	3.35	330.25	474.1019	false
2019-01-01 12:30:00	3	23.25	30	27.85832	87	3.6	314.5	453.4151	false
2019-01-01 12:45:00	3	23.25	30	28.08262	87	3.35	298.75	471.6411	false
2019-01-01 13:00:00	3	23.25	30	28.32049	87	3.1	283	457.8376	false
2019-01-01 13:15:00	3	23.25	30	28.497484	87	2.85	283.75	443.53635	false
2019-01-01 13:30:00	3	23.25	30	28.639027	87	2.6	284.5	433.68396	false
2019-01-01 13:45:00	3	23.25	30	28.78445	87	2.975	285.25	419.47955	false
2019-01-01 14:00:00	3	23.25	30	28.911966	87	3.35	286	396.45874	false
2019-01-01 14:15:00	3	23.25	30	29.014353	87	3.725	271.75	363.84708	false
2019-01-01 14:30:00	3	23.25	30	29.09517	87	4.1	257.5	332.2456	false
2019-01-01 14:45:00	3.25	23.25	30	29.109053	82.5	3.85	243.25	274.95288	false
2019-01-01 15:00:00	3.5	23.25	30	29.12635	78	3.6	229	227.41246	false
2019-01-01 15:15:00	3.75	23.25	30	29.164557	73.5	3.35	171.75	167.44286	false
2019-01-01 15:30:00	4	23.25	30	29.208403	69	3.1	114.5	110.664375	false
2019-01-01 15:45:00	3.75	23.25	30	29.042831	70.25	3.35	57.25	94.49068	false
2019-01-01 16:00:00	3.5	23.25	30	28.916416	71.5	3.6	0	111.31481	false
2019-01-01 16:15:00	3.25	23.25	30	28.80172	72.75	3.85	0	130.16916	false
2019-01-01 16:30:00	3	23.25	30	28.693161	74	4.1	0	147.62169	false
2019-01-01 16:45:00	3	23.25	30	28.588377	74	3.975	0	152.92947	false
2019-01-01 17:00:00	3	23.25	30	28.49062	74	3.85	0	159.28514	false
2019-01-01 17:15:00	3	23.25	30	28.396233	74	3.725	0	166.6213	false
2019-01-01 17:30:00	3	23.25	30	28.32594	74	3.6	0	169.15137	false
2019-01-01 17:45:00	2.85	23.25	30	27.251715	76.25	3.6	0	822.83325	false
2019-01-01 18:00:00	2.7	23.25	30	26.572493	78.5	3.6	0	810.24554	false
2019-01-01 18:15:00	2.55	23.25	30	26.193127	80.75	3.6	0	813.9868	false
2019-01-01 18:30:00	2.4	23.25	30	25.834457	83	3.6	0	998.9287	false
2019-01-01 18:45:00	2.3	23.25	30	25.252714	85.5	3.6	0	2,331.8633	false
2019-01-01 19:00:00	2.2	23.25	30	24.720537	88	3.6	0	2,967.4714	false
2019-01-01 19:15:00	2.1	23.25	30	24.323812	90.5	3.6	0	3,546.933	false
2019-01-01 19:30:00	2	23.25	30	23.975569	93	3.6	0	3,949.9011	false
2019-01-01 19:45:00	1.75	23.25	30	23.464931	91.25	2.7	0	4,927.514	false
2019-01-01 20:00:00	1.5	23.25	30	23.250605	89.5	1.8	0	5,728.3394	false
2019-01-01 20:15:00	1.25	23.25	30	23.250717	87.75	0.9	0	6,104.211	false
2019-01-01 20:30:00	1	23.25	30	23.25057	86	0	0	6,163.896	false
2019-01-01 20:45:00	1	21.843977	27.800735	22.611824	87.75	0.525	0	1,318.2935	false
2019-01-01 21:00:00	1	22.298067	28.338272	22.302696	89.5	1.05	0	3,761.1868	false
2019-01-01 21:15:00	1	20.938759	28.339098	21.928207	91.25	1.575	0	1,521.0049	false
2019-01-01 21:30:00	1	21.577145	29.259836	21.626223	93	2.1	0	3,108.776	false
2019-01-01 21:45:00	1	23.25	29.137383	22.78696	93	1.95	0	11,524.268	false
2019-01-01 22:00:00	1	22.549349	27.030676	22.549824	93	1.8	0	8,155.915	false
2019-01-01 22:15:00	1	22.049068	28.507315	22.051964	93	1.65	0	6,697.8403	false
2019-01-01 22:30:00	1	22.432087	27.85673	22.429697	93	1.5	0	7,190.94	false
2019-01-01 22:45:00	1.075	23.058992	27.142178	22.711283	92.75	1.45	0	10,219.878	false
2019-01-01 23:00:00	1.15	23.25	27.055677	22.814093	92.5	1.4	0	9,617.074	false
2019-01-01 23:15:00	1.225	22.902735	26.972658	22.903093	92.25	1.35	0	9,033.175	false
2019-01-01 23:30:00	1.3	23.25	27.153954	22.969507	92	1.3	0	8,856.548	false
2019-01-01 23:45:00	1.35	23.25	26.69425	23.009148	91.75	1.225	0	8,709.563	false
2019-01-02 00:00:00	1.4	23.25	27.297716	23.054245	91.5	1.15	0	9,153.772	false
2019-01-02 00:15:00	1.45	22.237074	26.34109	22.237215	91.25	1.075	0	4,477.5615	false
2019-01-02 00:30:00	1.5	22.58504	26.357935	22.428831	91	1	0	9,495.143	false
2019-01-02 00:45:00	1.475	22.183752	26.520432	22.184168	91.25	0.95	0	7,130.0864	false

End of preview. Expand in Data Studio

TTM4HVAC – Training dataset (source-all)

This dataset contains HVAC and weather time-series data used to train the source-all TinyTimeMixer model (gft/ttm4hvac), the main model of the TTM4HVAC project.

It aggregates all available source-building data under default and non-default conditions.

Check out the paper arXiv:XXXX.XXXXX (to be released) and visit the main repository ttm4hvac for further details.

Columns

time
Outdoor Air Temperature (C)
Heating Setpoint (C)
Cooling Setpoint (C)
Room Air Temperature (C)
Outdoor Humidity (%)
Wind Speed (m/s)
Direct Solar Radiation (W/m^2)
HVAC Power Consumption (W)
series_id
is_default

Usage

from datasets import load_dataset

ds = load_dataset("gft/ttm4hvac-source-all-train")
df = ds["train"].to_pandas()

✒️ Citation

If you use this model or datasets, please cite:

**F. Aran**,  
*Transfer learning of building dynamics digital twin for HVAC control with Time-series Foundation Model*,  
arXiv:XXXX.XXXXX, 2025.  
https://arxiv.org/abs/XXXX.XXXXX

Downloads last month: 24

Size of downloaded dataset files:

25.4 MB

Size of the auto-converted Parquet files:

25.4 MB

Number of rows:

1,051,200

Models trained or fine-tuned on gft/ttm4hvac-source-all-train

gft/ttm4hvac

Time Series Forecasting • 3.1M • Updated Nov 20, 2025 • 1

Collection including gft/ttm4hvac-source-all-train

ttm4hvac

Collection

10 items • Updated about 5 hours ago