Optimized Home Energy Management System to Improve Efficiency and Use

Abstract

In order to reduce electricity bills and avoid power outages, customers and power utilities can control residential loads with the use of a Home Energy Management System (HEMS).  An Energy Management Control (EMC) system for Smart Homes (SH) is presented in this study. Its purpose is to effectively schedule domestic appliances.  In order to optimize appliance scheduling for both single and numerous homes, it integrates a classification system for energy response programs based on power pricing.  To control demand within grid capacity, the algorithm combines the Time of Use (TOU) and Inclining Block Rate (IBR) pricing models. Achieving sustainability now depends on making the most efficient use of energy due to the growing demand for it worldwide.  A significant development in this area is represented by Smart Load Management (SLM) systems, which increase electricity consumption, reduce waste, and boost overall energy efficiency.  Modern technologies like artificial intelligence (AI), machine learning (ML), and the internet of things (IoT) are used by these systems to dynamically monitor and control energy consumption. Real-time load balancing is a crucial feature of SLM systems, which is accomplished by integrating renewable energy sources, analyzing demand patterns predictively, and responding adaptively to grid variations.  This study examines the most recent developments in SLM technologies with an emphasis on how they affect cost savings, grid stability, and energy efficiency.  It also looks at the elements, advantages, and difficulties of smart load management systems, highlighting how they contribute to the development of a more resilient and sustainable energy infrastructure. The study also explores upcoming developments in SLM, such as the importance of energy storage devices and the development of smart grids.  SLM systems provide a viable way to maximize energy use while reducing environmental impact by leveraging cutting-edge technologies.