Research Article

Short-Term Power Prediction of a Photovoltaic Power Station Based on the SSA-CEEMDAN-FCN Model

Table 2

Results of combined model prediction performance.

DatasetEvaluating indicator (MW)SSA-CEEMDAN-FCNCEEMDAN-FCNCEEMDAN-ARIMACEEMDAN-LSTMCEEMDAN-ELM

1MAE2.573.475.345.214.24
RMSE3.204.105.214.764.61

2MAE1.473.275.874.874.17
RMSE2.324.226.015.765.55