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Table 5

Forecasting performances of different models for Yangbi and Yingjiang counties (RMSE, MAE: hour, MAPE: %)

Case study	ISI-GM(1,1) model				TSI-GM(1,1) model				GM(1,1) model				LR model
Case study	RMSE	MAPE	MAE	R²	RMSE	MAPE	MAE	R²	RMSE	MAPE	MAE	R²	RMSE	MAPE	MAE	R²
Yangbi	38.71	9.93	23.38	0.962	93.25	33.53	59.86	0.897	81.18	35.43	56.8	0.807	91.96	47.56	69.86	0.865
Yingjiang	34.65	4.05	17.20	0.973	153.43	14.4	71.58	0.850	70.91	18.17	53.56	0.883	69.21	21.61	59.62	0.841

Case study	ISI-GM(1,1) model				TSI-GM(1,1) model				GM(1,1) model				LR model
Case study	RMSE	MAPE	MAE	R²	RMSE	MAPE	MAE	R²	RMSE	MAPE	MAE	R²	RMSE	MAPE	MAE	R²
Yangbi	38.71	9.93	23.38	0.962	93.25	33.53	59.86	0.897	81.18	35.43	56.8	0.807	91.96	47.56	69.86	0.865
Yingjiang	34.65	4.05	17.20	0.973	153.43	14.4	71.58	0.850	70.91	18.17	53.56	0.883	69.21	21.61	59.62	0.841