Multivariate Time Series Forecasting on Solar-Energy (test) benchmark leaderboard · SOTA2 Research

Multivariate Time Series Forecasting on Solar-Energy (test)

0.1775RSESCINet

Evaluation Results

Method	Links
SCINet2021.06		0.1775	0.9853
TPA-LSTM2021.06		0.1803	0.985
LST-Attn2017.03		0.1816	0.9848
LST-Skip2017.03		0.1843	0.9843
LSTNet2021.06		0.1843	0.9843
TCN†2021.06		0.19	0.9848
VARMLP2017.03		0.1922	0.9829
RNN-GRU2017.03		0.1932	0.9823
TCN2021.06		0.194	0.9835
LRidge2017.03		0.2019	0.9807
LSVR2017.03		0.2021	0.9807
GP2017.03		0.2259	0.9751
SCINet2021.06		0.2301	0.9739
TPA-LSTM2021.06		0.2347	0.9742
TCN†2021.06		0.2382	0.9612
AR2017.03		0.2435	0.971
TRMF2017.03		0.2473	0.9703
LST-Attn2017.03		0.2538	0.9696
LST-Skip2017.03		0.2559	0.969
LSTNet2021.06		0.2559	0.969
TCN2021.06		0.2581	0.9602
RNN-GRU2017.03		0.2628	0.9675
VARMLP2017.03		0.2679	0.9655
LRidge2017.03		0.2954	0.9568
SCINet2021.06		0.2997	0.955
LSVR2017.03		0.2999	0.9562
TPA-LSTM2021.06		0.3234	0.9487
LST-Skip2017.03		0.3254	0.9467
LSTNet2021.06		0.3254	0.9467
GP2017.03		0.3286	0.9448
TCN†2021.06		0.3353	0.9432
LST-Attn2017.03		0.3466	0.9397
TRMF2017.03		0.347	0.9418
TCN2021.06		0.3512	0.9321
AR2017.03		0.379	0.9263
SCINet2021.06		0.4081	0.9112
RNN-GRU2017.03		0.4163	0.915
VARMLP2017.03		0.4244	0.9058
TPA-LSTM2021.06		0.4389	0.9081
LST-Attn2017.03		0.4403	0.8995
LST-Skip2017.03		0.4643	0.887
LSTNet2021.06		0.4643	0.887
TCN†2021.06		0.4676	0.8851
TCN2021.06		0.4732	0.8812
LRidge2017.03		0.4832	0.8765
LSVR2017.03		0.4846	0.8764
RNN-GRU2017.03		0.4852	0.8823
GP2017.03		0.52	0.8518
TRMF2017.03		0.5597	0.8475
AR2017.03		0.5911	0.8107
VARMLP2017.03		0.6841	0.7149
LRidge2017.03		0.7287	0.6803
LSVR2017.03		0.73	0.6789
GP2017.03		0.7973	0.5971
AR2017.03		0.8699	0.5314
TRMF2017.03		0.9005	0.5598