J. Bhutto

Physics-informed sparse deep neural networks for ultra-fast solar power forecasting and frequency response support in ancillary service markets

The rising penetration of solar photovoltaic (PV) systems into the current power grid leads to large variations and uncertainties, which are key challenges to frequency stability and reliable auxiliary services. In this research, a novel Physics-Informed Sparse Deep Neural Network (PI-SDNN) framework is proposed for...