1. A distributed memory RBF-based model for variable generation forecasting;Sideratos;Int J Electr Power Energy Syst,2020
2. Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning;Zang;Int J Electr Power Energy Syst,2020
3. A novel convolutional neural network framework based solar irradiance prediction method;Dong;Int J Electr Power Energy Syst,2020
4. Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network;Zhang;Int J Electr Power Energy Syst,2020
5. Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression;He;Int J Electr Power Energy Syst,2020