Energy Management System Using Multi Agent Systems with IoT and Machine Learning

The topic of this study is a Smart Microgrid with Dynamic, Distributed Energy Management. At the moment, a SCADA system is used for energy management (Supervisory Control and Data Acquisition). A distributed energy system (DES) called a “multi-agent system” (MAS) is made up of several software agents that form a loosely connected network and cooperate to solve issues that are more complex than they can handle alone. By selecting the least expensive renewable resource that is readily available at the time, economic and environmental optimization is performed. As a result, dynamic energy management has been put into practice. The purpose of this research is to demonstrate how an energy management system based on MAS may be utilized to optimize a microgrid. Machine learning has been used to forecast load, increase power grid efficiency, and establish a stable operating environment.