Hybrid Network Model Based on Data Enhancement for Short-Term Power Prediction of New PV Plants
This study proposes a hybrid network model based on data enhancement to address the problem of low accuracy in photovoltaic (PV) power prediction that arises due to insufficient data samples for new PV plants.First, a time-series generative adversarial network (TimeGAN) is used to learn the distribution law of the original PV data samples and the t