Table 2.

Prediction performances of methods on the datasets.

Dataset	Metrics	SVR	GRU	GCN	CGRUG	LPGNN	GDN	STSGCN	SSTLN-SMG	▴%
5-min	RMSE	14.69	6.87	30.33	5.31	13.58	7.50	5.22	3.14	39.92
	MAE	10.08	4.35	23.44	2.58	5.09	2.44	1.94	1.61	17.01
	MAPE	42.45	24.76	21.9	23.36	8.17	5.23	5.56	3.74	28.49
15-min	RMSE	43.63	29.36	59.48	23.17	21.02	19.19	9.54	5.85	38.68
	MAE	20.84	15.05	31.94	12.71	6.86	5.42	3.85	1.86	51.58
	MAPE	54.01	37.59	38.19	37.39	4.03	3.40	5.78	1.99	41.38
30-min	RMSE	126.04	51.73	88.52	34.08	22.37	27.91	14.87	10.89	26.77
	MAE	49.30	30.26	46.02	20.59	7.66	8.50	6.76	4.04	40.24
	MAPE	85.47	57.23	48.9	36.45	5.52	5.69	6.57	4.29	22.28
60-min	RMSE	236.47	110.67	104.14	65.35	25.12	35.77	28.08	14.86	40.84
	MAE	143.67	36.82	86.01	39.69	8.64	10.86	18.95	8.10	6.25
	MAPE	97.42	85.32	68.24	49.76	5.58	4.73	12.55	3.71	21.56