EV charging demand forecasting on Palo Alto (test) benchmark leaderboard · SOTA2 Research

EV charging demand forecasting on Palo Alto (test)

416MSEHyperCast

Evaluation Results

Method	Links
HyperCast2025.11		416	14.8	0.8
HyperCast2025.11		416	15	0.79
HyperCast2025.11		808	21.3	0.89
HyperCast2025.11		830	21.8	0.9
HyperGCN-Demd2025.11		924	23.2	0.77
HyperGCN-Dist2025.11		990	19.5	0.82
HyperGCN-Demd2025.11		997	22.6	0.78
HyperGCN-Dist2025.11		1,075	20.2	0.82
ASTGCN2025.11		1,330	27.2	0.66
NBEATS2025.11		1,358	27.4	0.65
TCN2025.11		1,400	27.3	0.54
GWN2025.11		1,401	28.1	0.64
GWN2025.11		1,404	28.2	0.65
FEDformer2025.11		1,410	27.7	0.64
NBEATS2025.11		1,438	28.1	0.63
GRU2025.11		1,446	28.1	0.52
FEDformer2025.11		1,451	28	0.62
Autoformer2025.11		1,469	28.3	0.62
TCN2025.11		1,484	28	0.52
ASTGCN2025.11		1,488	28.3	0.62
GRU2025.11		1,497	28.7	0.54
T-GCN2025.11		1,498	29.4	0.63
LSTM2025.11		1,499	28.6	0.52
LSTM2025.11		1,516	28.9	0.54
Autoformer2025.11		1,540	29.2	0.61
T-GCN2025.11		1,540	29.2	0.61
NHITS2025.11		1,556	29.5	0.6
GCN2025.11		1,593	29.8	0.59
GAT2025.11		1,616	30.1	0.58
GCN2025.11		1,619	30.1	0.58
GAT2025.11		1,755	34	0.55
NHITS2025.11		1,771	31.3	0.54
DLinear2025.11		3,312	42.4	0.15
Informer2025.11		4,318	48.7	-0.1
DLinear2025.11		4,318	48.7	-0.1
Informer2025.11		12,508	92.7	-2.2
DeepAR2025.11		13,416	97.5	-2.43
DeepAR2025.11		13,520	98	-2.46