Multivariate Time-series Forecasting on Electricity (MAE, RMSE, RSE, CORR) benchmark leaderboard · SOTA2 Research

Multivariate Time-series Forecasting on Electricity (MAE, RMSE, RSE, CORR)

0.0253MAEDA-SPS

Evaluation Results

Method	Links
DA-SPS2026.01		0.0253	0.0333	0.3567	0.9374
DA-Conv-LSTM2026.01		0.0288	0.039	0.4153	0.9102
DA-SPS2026.01		0.0288	0.0385	0.4122	0.924
DA-SPS2026.01		0.0293	0.0401	0.4292	0.908
DA-SPS2026.01		0.0294	0.0396	0.4239	0.9063
LSTNet2026.01		0.0311	0.0411	0.4377	0.9086
DA-RNN2026.01		0.0324	0.0419	0.4467	0.9004
LSTNet2026.01		0.0335	0.044	0.4684	0.8928
LSTNet2026.01		0.0337	0.0452	0.4809	0.8896
CNN2026.01		0.0352	0.0466	0.4962	0.8714
CNN2026.01		0.0357	0.0464	0.4943	0.8703
TCLN2026.01		0.0361	0.0486	0.5176	0.8889
LSTM2026.01		0.0366	0.048	0.5108	0.8605
TS-Conv-LSTM2026.01		0.0368	0.0476	0.5067	0.8696
TS-Conv-LSTM2026.01		0.0372	0.0486	0.5179	0.8561
LSTM2026.01		0.0373	0.049	0.5215	0.8586
TCLN2026.01		0.0373	0.0485	0.5162	0.8645
DA-Conv-LSTM2026.01		0.0382	0.0495	0.5275	0.8796
LSTM2026.01		0.0387	0.0505	0.5381	0.8445
LSTM2026.01		0.039	0.0511	0.5437	0.8469
TS-Conv-LSTM2026.01		0.0396	0.0537	0.5721	0.8533
TCLN2026.01		0.0399	0.0508	0.5405	0.8489
TCLN2026.01		0.0402	0.0524	0.5584	0.854
LSTNet2026.01		0.0405	0.0537	0.5715	0.8455
CNN2026.01		0.0406	0.0542	0.577	0.8488
DA-Conv-LSTM2026.01		0.0406	0.0564	0.6008	0.9009
CNN2026.01		0.041	0.0547	0.5829	0.8464
DA-RNN2026.01		0.0426	0.0547	0.5825	0.8254
DA-Conv-LSTM2026.01		0.0439	0.0583	0.6212	0.8416
DA-RNN2026.01		0.044	0.0589	0.6275	0.8675
DA-RNN2026.01		0.0446	0.0607	0.6459	0.7942
TS-Conv-LSTM2026.01		0.0461	0.0623	0.6633	0.8146