Photovoltaic Power Prediction Model Based on EMD-KPCA-LSTM
In order to adequately solve the problems of high prediction difficulty,stochasticity and large prediction time span in photovoltaic(PV)forecasting,and to improve the prediction accuracy of PV power,a PV power prediction model based on EMD-KPCA-LSTM is proposed.Using EMD and PCA algorithms,PCA is fused with the kernel function to further process the nonlinear series and reduce the dimensionality of the data to improve the accuracy of the processing.Relying on the LSTM network,a multivariate dynamic numerical model is constructed,which provides a new algorithm for more reliable prediction of PV power.
photovoltaic power predictionempirical modal decompositionkernel principal component analysislong short-term memory neural network
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