Design and development of Neural Network based controller for the Demand response management of power grid
Paper Key : IRJ************939
Author: Suraj Kamal
Date Published: 05 Jan 2023
Energy management refers to the optimization of the energy system, one of the most intricate and significant technological inventions that we are aware of. While optimizing has a lot of experience, the demand side is what drives the production and distribution of energy. Research and business are paying more attention to Demand Side Management (DSM) portfolio includes actions to enhance the energy infrastructure next to the consumer. It varies fromenhancing energy efficiency by the use of superior materials over clever incentives in energy prices for specific use habits, increasing advanced real-time management of dispersed energy resources. In this paper, Neural Network based contreiler has been designed to perform the load balancing using a load profile of a commercial college building dataset. The results obtained show the regression fir of 99.9% and error of 0.0005%.