Hardware Implementation of a Home Energy Management System Using Remodeled Sperm Swarm Optimization (RMSSO) Algorithm

A remodeled sperm swarm optimization (RMSSO) algorithm for a home energy management (HEM) system is proposed, and its real-time efficacy was evaluated using hardware experimental model. This environment comprised sixteen residential loads, smart meter Raspberry Pi controller to optimize the consumption cost (ECC) in response Indian day-ahead pricing (DAP) scheme. wired/wireless communication network considered communicate with controller. To address this problem, (SSO) algorithm’s constriction coefficient improve global searching capability proposed as RMSSO. For first time, salp (SSA), SSO, RMSSO algorithms were employed schedule appliances scenario. validate technique’s outcome, results compared those of conventional SSO SSA algorithms. problem solved Python/GUROBI optimizer tool. As consequence, consumers can use control strategy reduce costs.