An Ensemble Framework for Day-Ahead Forecast of PV Output Power in Smart Grids

The uncertainty associated with solar photo-voltaic (PV) power output (PO) is a big challenge to design, manage and implement effective demand response, and management strategies. Therefore, an accurate PV power output forecast is an utmost importance to allow seamless integration and a higher level of penetration. In this research, a neural network ensemble (NNE) scheme is proposed, which is based on particle swarm optimization trained...