Time Series Forecasting on Power Consumption (Detailed Metrics) benchmark leaderboard · SOTA2 Research

Time Series Forecasting on Power Consumption (Detailed Metrics)

64.1Improvement Rate (%)AutoDA

Evaluation Results

Method	Links
AutoDA2026.05		64.1	-5.42	4.32	36.1	4.22	35.2	3.88	31.3	0.312	1.31	0.469	2.42	0.37	1.52	0.391	1.68	0.57	3.4
ReAugment2026.05		54.7	3.61	4.64	35.8	4.56	35.3	4.47	34.5	0.453	1.94	0.37	1.81	0.411	1.68	0.644	3.16	0.503	2.9
TimeVAE2026.05		51.6	7.52	4.72	36.5	4.51	35.1	4.37	34	0.475	2.02	0.462	2.41	0.435	1.7	0.709	4.02	0.342	1.62
Diffusion-TS2026.05		46.9	-1.62	5.03	39.2	4.82	38	4.86	38.2	0.336	1.42	0.387	1.95	0.344	1.55	0.401	1.76	0.48	2.81
DAD4TS2026.05		43.8	2.82	5.09	40.8	5.71	43.2	5.41	42.4	0.344	1.4	0.435	2.22	0.323	1.39	0.429	2.26	0.554	3.11
DiffAT2026.05		42.2	2.09	4.8	37.5	4.59	35.8	4.48	34.5	0.429	1.77	0.406	2.09	0.348	1.54	0.569	3.06	0.452	2.18
SMFG2026.05		40.6	10.4	4.75	37	5.11	41.6	4.36	33.5	0.328	1.39	0.575	3.29	0.39	1.68	0.711	4.23	0.638	5.31
TimeGAN2026.05		37.5	15.2	5.03	40.5	5.99	47.7	4.74	38.1	0.379	1.55	0.463	2.44	0.397	1.74	0.736	3.75	0.552	3.5
baseline2026.05		0	0	4.71	36.6	4.58	35.7	4.51	34.9	0.342	1.46	0.398	1.95	0.394	1.51	0.688	3.95	0.529	2.95