Dynamic Price-Based Demand Response through Linear Regression for Microgrids with Renewable Energy Resources

The green innovations in the energy sector are smart solutions to meet excessive power requirements through renewable resources (RERs). These have forwarded revolutionary relief control of carbon dioxide gaseous emissions from traditional resources. use RERs a heuristic manner is necessary demand side management microgrids (MGs). pricing scheme limitations hinder profit maximization MG and their customers. In addition, recent schemes lack mechanistic underpinning. Therefore, dynamic electricity linear regression designed for maximize load customers (changeable unchangeable) MG. response optimization problem solved particle swarm (PSO) technique. proposed evaluated under two different scenarios. simulation results verified that sustained margins comforts changeable unchangeable as compared fixed both Hence, can readily be used real (MGs) grasp goal cleaner production.