Multi-Dimensional Time-Series Photovoltaic Power Prediction Model Based on VMD-SSA-LSTM
In order to deal with nonlinear,non-stationary and multi-dimensional time series of photovoltaic power data,the prediction accuracy and stability are improved.A multidimensional time series PV power prediction model based on VMD-SSA-LSTM is proposed.Through data preprocessing,VMD decomposition,SSA optimization,LSTM modeling and prediction,prediction accuracy assessment and model optimization,an accurate multidimensional time-series PV power prediction model based on VMD-SSA-LSTM can be constructed,which is used to accurately predict the power generation of PV power plants in the future period.
万方数据
维普
