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              <text>A Review of Smart Grid Management Systems Using Machine Learning Algorithms for Efficient Energy Distribution</text>
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              <text>Energy distribution; Grid monitoring; Machine learning algorithms; Smart grid management system</text>
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              <text>The smart grid is an intelligent electricity network that uses digital technology to improve the efficiency, reliability, and sustainability of power delivery. Machine learning is a type of artificial intelligence that can be used to analyze data and learn from it. This makes it a valuable tool for the smart grid, as it can be used to solve a variety of problems, such asorecasting energy demand, detecting, and preventing outages, optimizing power flows, managing distributed energy resources, ensuring grid security.In this article, we will review the use of machine learning in the smart grid. We will discuss the different machine learning algorithms that are being used, the challenges that need to be addressed, and the future of machine learning in the smart grid..  The Authors, published by EDP Sciences, 2024.</text>
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              <text>Sudha E.; Aggarwal A.S.; Kalpana B.; Reddy M.N.; Almusawi M.; Raja Kumar J.R.</text>
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              <text>E3S Web of Conferences, Vol-540</text>
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              <text>&lt;a href="https://doi.org/10.1051/e3sconf/202454008009" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1051/e3sconf/202454008009&lt;/a&gt;
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              <text>All Open Access; Gold Open Access</text>
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              <text>ISSN: 25550403</text>
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              <text>Sudha E., Department of Commerce, CHRIST (Deemed to Be University), Bangalore Yeshwantpur Campus, India; Aggarwal A.S., Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Kalpana B., Department of S and H, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 127, India; Reddy M.N., Department of Computer Science and Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044, India; Almusawi M., The Islamic University, Najaf, Iraq; Raja Kumar J.R., Department of Computer Engineering, Genba Sopanrao Moze College of Engineering, Balewadi, Maharashtra, Pune, India</text>
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