Optimizing Home Energy Consumption with an Improved Subtraction-Average Based Optimizer Algorithm: A Smart Grid-Based Approach

Optimizing Home Energy Consumption with an Improved Subtraction-Average Based Optimizer Algorithm: A Smart Grid-Based Approach | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Optimizing Home Energy Consumption with an Improved Subtraction-Average Based Optimizer Algorithm: A Smart Grid-Based Approach Meriem IOUKNANE, Samia CHIBANI SADOUKI This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8375003/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract With the increasing demand for electricity and the growing integration of renewable energy sources, optimizing household energy consumption has become a major challenge. Smart Grid (SG) technology emerges as a solution to improve energy efficiency through real-time monitoring and control of domestic energy consumption. In this context, Home Energy Management Systems (HEMS) play a crucial role in scheduling and optimizing the use of smart appliances. However, achieving an optimal balance between cost reduction, user comfort, and efficient appliance management remains complex. In this paper, we enhanced the Subtraction-Average-Based Optimizer (SABO) metaheuristic by developing a modified version, called the Modified Subtraction-Average-Based Optimizer (MSABO), and applied it to energy consumption optimization in a HEMS that incorporates solar photovoltaic energy (SPVE). The goal is to minimize energy consumption while improving the quality of service in terms of cost reduction, Peak-to-Average Ratio (PAR), and user discomfort (UD) under Time-of-Use (TOU) tariffs. To evaluate the effectiveness of this new approach, we compared MSABO with the original SABO, the Genetic Algorithm (GA), and an unscheduled scenario, simulating both a single home and multiple homes. The results demonstrate that MSABO outperforms all other approaches. Smart Grid Metaheuristic Optimization Smart Home Time-Of-Use tariffs Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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