Research Article

A Novel Hybrid Model for Short-Term Forecasting in PV Power Generation

Table 3

Comparative analysis on PV power forecasting errors by using different methods.

PV data sourcesPTM Green Energy Office (GEO) (%)Taichung Thermal Power Plant (%)An academic building at the National Penghu University (NPU) (%)

Forecasting model
 ARIMA9.5216.4913.48
 LS-SVM6.424.7812.03
 ANN7.784.7516.77
 ANFIS7.936.8212.32
 Hybrid model5.643.436.57