A Review of Smart Grid Management Systems Using Machine Learning Algorithms for Efficient Energy Distribution-Reference-Cited by-同舟云学术

A Review of Smart Grid Management Systems Using Machine Learning Algorithms for Efficient Energy Distribution

Published:2024 Issue: Volume:540 Page:08009
ISSN:2267-1242
Container-title:E3S Web of Conferences
language:
Short-container-title:E3S Web of Conf.

Author:

E Sudha,Aggarwal A. Saurabh,Kalpana B.,Reddy M. Nirmala,Almusawi Muntather,Raja Kumar Jambi Ratna

Abstract

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 as⸻forecasting 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..

Publisher

EDP Sciences

Link

https://www.e3s-conferences.org/10.1051/e3sconf/202454008009/pdf

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