Ammar Arshad

Load Forecasting,Greenhouse Gas,Ensemble Model,Forecasting Model,Generation Expansion Planning,Load Consumption,Long Short-term Memory,Long Short-term Memory Model,Long Short-term Memory Network,Machine Learning,Machine Learning Models,Mean Absolute Error,Mean Absolute Percentage Error,Performance Metrics,Planning Horizon,Power Generation,Power Plants,Power System,Recurrent Neural Network,Renewable Energy Sources,Short-term Memory,Thermal Power Plants,1-minute Intervals,Accuracy Of Model,Actual Reward,Aggregate Data,Aggregate Demand,Average Demand,Base Case Scenario,Carbon Emission Reduction,Comparative Analysis,Computational Burden,Decision Node,Decision Tree,Decision Variables,Deep Neural Network,Deep Reinforcement Learning,Demand Response Programs,Distribution Network,Electric Power,Electricity Usage,Emission Reduction,Emission Spectra,Energy Consumption,Energy Demand,Energy Mix,Energy Source,Energy System,Energy Usage,Ensemble Technique,