Data consumption-based home energy management for residential platform.

The proposed plan aims to aid and encourage efficient use of electricity and, as a result, minimize power consumption to the barest minimum. The key feature of the proposed system is the ability to remotely monitor and manage electrical and electronic appliances to reduce peak load to the barest minimum. The plan has both efficiency and accuracy advantages also financial advantages. Analytical Method (Am) is employed to optimize the load consumption of a typical residential building. Dwelling based on accurate data. Smart plugs capture the consumption data because they were created and supplied to work with innovative home products. Based on the modeling findings, the energy consumption expense bill reduces by 24.31 percent to minimize peak load by 32.02 percent. Analytical process, Bacterial Foraging Optimization (BFO), Particle Swarm Optimization (PSO), and other optimization approaches are all put up against the proposed way (AM). [ABSTRACT FROM AUTHOR]