Short-Term Power Generation Energy Forecasting Model for Small Hydropower Stations Using GA-SVM

Table 2

The performance statistics of GA-SVM models for Yunlong County.

Population size	Optimal parameters; (C, 𝜀, and 𝜎)	Calibration		Validation
		RMSE	MAPE	RMSE	MAPE
(i) 30	(4.0754, 0.1989, 0.0078)	113.88	8.52	81.08	5.15
(ii) 50	(5.5762, 0.2275, 0.0073)	113.66	8.49	77.31	5.02
(iii) 80	(18.7495, 0.105, 0.0103)	113.98	8.53	80.42	5.08
(iv) 100	(10.3452, 0.1464, 0.0077)	113.87	8.51	80.86	5.11
(v) 120	(24.4174, 0.0528, 0.0064)	114.46	8.58	81.85	5.19
(vi) 150	(9.4141, 0.0348, 0.0025)	115.11	8.62	80.53	5.07