Forecasting of PV plant output using hybrid wavelet-based LSTM-DNN structure model

This paper proposes a novel forecasting model designed to accurately forecast the PV power output for both large-scale and small-scale PV systems. The proposed model uses available temperature data, approximate and detailed coefficients obtained from the decomposed PV power time series using the stationary wavelet transform (SWT), and statistical features extracted from the historical PV data. The...