Spatiotemporal Forecasting on Solar-Energy (test) benchmark leaderboard · SOTA2 Research

Spatiotemporal Forecasting on Solar-Energy (test)

0.238MAEFDN

Evaluation Results

Method	Links
FDN2026.06		0.238	66.815	0.705
AGCRN2026.06		0.247	66.927	0.704
SCINet2026.06		0.277	67.037	0.768
MTGNN2026.06		0.285	68.097	0.779
GRU2026.06		0.292	68.163	0.817
TCN2026.06		0.293	67.696	0.786
LTSF DLinear2026.06		0.319	68.519	0.854
FDN2026.06		0.557	70.899	1.422
MTGNN2026.06		0.59	71.429	1.511
AGCRN2026.06		0.592	71.249	1.518
SCINet2026.06		0.642	71.954	1.583
GRU2026.06		0.752	73.144	1.894
TCN2026.06		0.789	73.41	1.902
FDN2026.06		0.869	73.267	1.977
MTGNN2026.06		0.87	74.019	2.215
AGCRN2026.06		0.901	74.049	2.27
FED-former2026.06		0.915	71.959	1.6
SCINet2026.06		0.962	74.67	2.332
LTSF DLinear2026.06		0.987	74.566	2.249
GRU2026.06		1.241	76.957	2.95
FED-former2026.06		1.281	74.525	2.244
StemGNN2026.06		1.419	76.452	2.84
TCN2026.06		1.451	77.961	3.166
LTSF DLinear2026.06		1.645	78.337	3.472
FED-former2026.06		1.788	76.697	3.027
StemGNN2026.06		2.032	79.889	3.961
StemGNN2026.06		2.092	80.719	4.117