AI-Based Energy Management for Renewable-Integrated Smart Grids using Load Forecasting and Battery Optimization
Renewable-integrated smart grids and commercial microgrids need operating strategies that keep photovoltaic (PV) surplus, time-of-use (TOU) prices and peak-demand charges under control. This paper develops and evaluates a forecast-driven energy management framework that combines (i) day-ahead load and PV forecasting, (...