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

¹ Assistant Professor, Department of Commerce, CHRIST (Deemed to be University) Bangalore Yeshwantpur Campus
² Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun - 248007, India
³ Assistant Professor, Department of S&H, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
⁴ Department of Computer Science & Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044 India .
⁵ The Islamic university, Najaf, Iraq
⁶ Associate Professor, Department of Computer Engineering, Genba Sopanrao Moze College of Engineering, Balewadi, India Email: ratnaraj.jambi@gmail.com, Pune, Maharashtra

^* Corresponding Author :sudha.e@christuniversity.in
^** sonu86dit@gmail.com
^*** b.kalpana_chem@psvpec.in
^**** research@iesbpl.ac.in
^***** muntatheralmusawi@gmail.com

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..