Deep learning (DL) which is widely used for photovoltaic generation forecasting requires large data to be trained properly, which is not available initially for new power plants. Transfer learning is a powerful technique used in computer vision problems with capability to achieve high...

Power systems networks are traditionally structured and engineered to effectively accommodate the effects of uncertainty and variability as regards energy demand and availability of resources. In order to transform the present carbon-intensive electricity generation system to one driven largely...