Datasets:

gft
/

ttm4hvac-target-heat-test

time stringdate 2019-01-01 00:00:00 2019-01-31 23:45:00	Room Air Temperature (C) float64 13.2 33.5	Outdoor Air Temperature (C) float64 -24.44 18.2	Outdoor Humidity (%) float64 0.1 1	Direct Solar Radiation (W/m^2) float64 0 982	Wind Speed (m/s) float64 1.04 12.7	Cooling Setpoint (C) float64 22.5 35	Heating Setpoint (C) float64 10 22.5	HVAC Power Consumption (W) float64 0 6.65k
2019-01-01 00:00:00	18.80124	0	0.51725	0	2.316458	30	15	0
2019-01-01 00:15:00	17.810606	0	0.53225	0	2.453958	30	15	0
2019-01-01 00:30:00	17.527469	0	0.54725	0	2.591458	30	15	0
2019-01-01 00:45:00	17.341224	0	0.56225	0	2.728958	30	15	0
2019-01-01 01:00:00	17.180503	0	0.576817	0	2.866276	30	15	0
2019-01-01 01:15:00	17.035924	0	0.588828	0	3.001119	30	15	0
2019-01-01 01:30:00	16.90327	0	0.596947	0	3.129009	30	15	0
2019-01-01 01:45:00	16.779066	0	0.600239	0	3.245259	30	15	0
2019-01-01 02:00:00	16.660641	0	0.597588	0	3.348333	30	15	0
2019-01-01 02:15:00	16.546131	0	0.58914	0	3.448333	30	15	0
2019-01-01 02:30:00	16.434333	0	0.578896	0	3.548333	30	15	0
2019-01-01 02:45:00	16.324522	0	0.571542	0	3.648333	30	15	0
2019-01-01 03:00:00	16.216278	0	0.57	0	3.748333	30	15	0
2019-01-01 03:15:00	16.109171	0	0.57	0	3.848333	30	15	0
2019-01-01 03:30:00	16.003018	0	0.57	0	3.948333	30	15	0
2019-01-01 03:45:00	15.897801	0	0.57	0	4.048333	30	15	0
2019-01-01 04:00:00	15.793465	0	0.57	0	4.151996	30	15	0
2019-01-01 04:15:00	15.689972	0	0.57	0	4.271557	30	15	0
2019-01-01 04:30:00	15.587318	0	0.57	0	4.402153	30	15	0
2019-01-01 04:45:00	15.485501	0	0.57	0	4.534018	30	15	0
2019-01-01 05:00:00	15.384513	0	0.565686	0	4.657706	30	15	0
2019-01-01 05:15:00	15.284339	0	0.543315	0	4.768547	30	15	0
2019-01-01 05:30:00	15.184982	0	0.510475	0	4.867679	30	15	0
2019-01-01 05:45:00	15.086514	0	0.480708	0	4.956898	30	15	0
2019-01-01 06:00:00	14.999817	0.1613	0.46377	0	4.934071	30	15	19.452545
2019-01-01 06:15:00	14.998129	0.981436	0.453297	0	4.478224	30	15	31.332778
2019-01-01 06:30:00	15.00447	2.130541	0.447461	0.054683	3.797539	30	15	19.204939
2019-01-01 06:45:00	15.001948	3.051739	0.447544	0.365647	3.245875	30	15	9.438193
2019-01-01 07:00:00	14.993256	3.29475	0.454834	0.913486	3.115187	30	15	18.726436
2019-01-01 07:15:00	14.987964	3.026779	0.468917	1.6107	3.326081	30	15	49.864515
2019-01-01 07:30:00	14.987897	2.582465	0.486243	4.7776	3.678917	30	15	88.508079
2019-01-01 07:45:00	14.995255	2.252848	0.502791	18.294431	3.995945	30	15	114.847726
2019-01-01 08:00:00	20.399928	2.242208	0.515265	38.667396	4.072142	24	21	2,937.137993
2019-01-01 08:15:00	21.042239	2.390028	0.52357	59.159617	3.774334	24	21	1,714.30661
2019-01-01 08:30:00	21.030191	2.64851	0.52694	68.719505	3.341763	24	21	1,494.90927
2019-01-01 08:45:00	21.021069	3.042448	0.524044	52.227695	3.086698	24	21	1,348.532544
2019-01-01 09:00:00	21.015633	3.673885	0.505401	25.598701	3.499254	24	21	1,248.231603
2019-01-01 09:15:00	21.01464	4.748013	0.446383	12.1457	5.202767	24	21	1,165.282348
2019-01-01 09:30:00	21.019793	5.969141	0.367496	56.813334	7.479181	24	21	1,073.161704
2019-01-01 09:45:00	21.040377	6.917269	0.301211	233.305778	9.296206	24	21	907.516569
2019-01-01 10:00:00	21.063461	7.308105	0.269454	474.857228	9.967081	24	21	655.685491
2019-01-01 10:15:00	21.072881	7.457231	0.250354	679.861571	10.24014	24	21	390.743746
2019-01-01 10:30:00	21.091342	7.556838	0.236715	780.064096	10.382892	24	21	175.231686
2019-01-01 10:45:00	21.175745	7.693465	0.230307	844.925208	10.369012	24	21	19.819591
2019-01-01 11:00:00	21.551591	7.930426	0.231915	896.038458	10.180696	24	21	0
2019-01-01 11:15:00	22.149621	8.218464	0.2377	926.418789	9.872851	24	21	0
2019-01-01 11:30:00	22.781895	8.51152	0.244276	934.29902	9.555956	24	21	0
2019-01-01 11:45:00	23.387864	8.778945	0.248957	936.80277	9.343293	24	21	0
2019-01-01 12:00:00	23.956514	8.987297	0.249933	938.76781	9.3	24	21	1.092073
2019-01-01 12:15:00	24.236312	9.12014	0.248989	939.845975	9.3	24	21	67.102551
2019-01-01 12:30:00	24.072715	9.216616	0.246646	940.116384	9.3	24	21	147.387395
2019-01-01 12:45:00	24.055623	9.325943	0.242679	940.61972	9.3	24	21	201.381245
2019-01-01 13:00:00	24.046846	9.529515	0.235576	940.332969	9.3	24	21	255.093326
2019-01-01 13:15:00	24.040895	9.925042	0.221812	937.650864	9.3	24	21	306.999042
2019-01-01 13:30:00	24.033954	10.353498	0.205653	928.972898	9.3	24	21	354.925168
2019-01-01 13:45:00	24.025205	10.596915	0.193348	907.066271	9.3	24	21	394.438215
2019-01-01 14:00:00	24.016781	10.5275	0.189268	875.884861	9.063437	24	21	422.840747
2019-01-01 14:15:00	24.011415	10.3775	0.189576	842.332404	7.865846	24	21	442.440781
2019-01-01 14:30:00	24.007612	10.2275	0.192313	811.005494	6.205673	24	21	455.910058
2019-01-01 14:45:00	24.00466	10.0775	0.197011	776.89405	4.915698	24	21	464.663777
2019-01-01 15:00:00	24.001334	9.9275	0.203524	738.154793	4.777038	24	21	468.526693
2019-01-01 15:15:00	23.99732	9.7775	0.212133	694.899891	5.85874	24	21	466.581127
2019-01-01 15:30:00	23.99126	9.6275	0.221015	626.487844	7.402878	24	21	456.181023
2019-01-01 15:45:00	23.980486	9.4775	0.227828	471.149671	8.561528	24	21	432.020473
2019-01-01 16:00:00	23.969115	9.237709	0.231208	277.430778	8.78193	24	21	391.827198
2019-01-01 16:15:00	23.956869	8.621337	0.233708	123.659165	8.70222	24	21	336.844811
2019-01-01 16:30:00	23.95708	7.78443	0.236208	61.511774	8.4865	24	21	280.462787
2019-01-01 16:45:00	23.962022	7.006759	0.238708	31.748508	8.03844	24	21	234.727302
2019-01-01 17:00:00	23.966941	6.517891	0.241208	11.809289	7.325417	24	21	197.707157
2019-01-01 17:15:00	23.971669	6.251826	0.243708	1.737176	6.550417	24	21	168.707638
2019-01-01 17:30:00	23.974482	6.055103	0.246208	0	5.775417	24	21	145.000456
2019-01-01 17:45:00	23.974916	5.793512	0.248708	0	5.000417	24	21	124.165921
2019-01-01 18:00:00	23.823051	5.311641	0.255379	0	4.225417	30	15	3.806333
2019-01-01 18:15:00	23.532273	4.523043	0.279259	0	3.450417	30	15	0
2019-01-01 18:30:00	23.232696	3.654478	0.312311	0	2.675417	30	15	0
2019-01-01 18:45:00	22.954183	2.993007	0.340671	0	1.900417	30	15	0
2019-01-01 19:00:00	22.721647	2.715857	0.354391	0	1.326248	30	15	0
2019-01-01 19:15:00	22.518629	2.553371	0.360695	0	1.594477	30	15	0
2019-01-01 19:30:00	22.314843	2.405548	0.363038	0	2.356395	30	15	0
2019-01-01 19:45:00	22.111585	2.268298	0.361797	0	2.986599	30	15	0
2019-01-01 20:00:00	21.9185	2.13938	0.356552	0	3.025398	30	15	0
2019-01-01 20:15:00	21.73875	2.02013	0.34577	0	2.780516	30	15	0
2019-01-01 20:30:00	21.568448	1.901852	0.332972	0	2.472082	30	15	0
2019-01-01 20:45:00	21.40328	1.77316	0.322942	0	2.200617	30	15	0
2019-01-01 21:00:00	21.238226	1.608421	0.319904	0	2.055388	30	15	0
2019-01-01 21:15:00	21.066603	1.357313	0.323961	0	2.053609	30	15	0
2019-01-01 21:30:00	20.886869	1.051695	0.332771	0	2.182417	30	15	0
2019-01-01 21:45:00	20.702326	0.744834	0.343986	0	2.4317	30	15	0
2019-01-01 22:00:00	20.517454	0.499143	0.356822	0	3.070461	30	15	0
2019-01-01 22:15:00	20.332112	0.360235	0.375857	0	4.904965	30	15	0
2019-01-01 22:30:00	20.147318	0.262009	0.401481	0	7.229227	30	15	0
2019-01-01 22:45:00	19.967798	0.115843	0.432453	0	8.932455	30	15	0
2019-01-01 23:00:00	19.786466	-0.299486	0.477852	0	9.226799	30	15	0
2019-01-01 23:15:00	19.565755	-1.413208	0.567265	0	8.819047	30	15	0
2019-01-01 23:30:00	19.292221	-2.85081	0.67557	0	8.243639	30	15	0
2019-01-01 23:45:00	19.004546	-4.032755	0.762859	0	7.801668	30	15	0
2019-01-02 00:00:00	18.75479	-4.564602	0.80084	0	7.689132	30	15	0
2019-01-02 00:15:00	18.54547	-4.854997	0.812606	0	7.670307	30	15	0
2019-01-02 00:30:00	18.350972	-5.117038	0.810737	0	7.664311	30	15	0
2019-01-02 00:45:00	18.158939	-5.415659	0.798775	0	7.680913	30	15	0

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TTM4HVAC – Evaluation dataset (target-heat-test)

This dataset contains target-building time-series data under heating-dominated operating conditions (January).

It is intended for evaluation / benchmarking of TTM4HVAC models on a heating-focused scenario.

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

Columns

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

Usage

from datasets import load_dataset

ds = load_dataset("gft/ttm4hvac-target-heat-test")
df = ds["test"].to_pandas()
df.head()

✒️ 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: 30

Size of downloaded dataset files:

192 kB

Size of the auto-converted Parquet files:

192 kB

Number of rows:

2,976

Models trained or fine-tuned on gft/ttm4hvac-target-heat-test

Collection including gft/ttm4hvac-target-heat-test

ttm4hvac

Collection

13 items • Updated Nov 18, 2025