Ahmed M. Massoud

Renewable Energy Sources,Convolutional Neural Network,Distributed Energy Resources,Electric Vehicles,Energy Consumption,Energy Storage Systems,Long Short-term Memory,Machine Learning Models,Optimization Problem,Power Generation,Smart Grid,Electric Vehicles Battery,Energy Dispatch,Energy Management,Energy Management System,Greenhouse Gas,Hybrid Power Plant,Load Data,Mean Square Error,Photovoltaic Power,Photovoltaic System,Power System,Real-world Data,Renewable Energy,Root Mean Square Error,Base Station,Battery Management System,Bipolar Pulses,Boost Converter,Dc-link Voltage,Deep Learning,Deep Q-network,Deep Reinforcement Learning,Deep Reinforcement Learning Agent,Duty Cycle,Electric Power,Energy Demand,Feed-forward Network,Frequency Stability,Grid Voltage,High Voltage Gain,Household Appliances,Hybrid Power,Inductor Current,Internet Of Things,Kullback-Leibler,Learning Performance,Learning Process,Linear Programming,Load Power,