Perspective-smart energy management system using machine learning

^* Department of Civil Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun - 248007, India
^† Assistant Professor, Department of CIVIL, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
^‡ Department of Computer Science &Engineering, IES University, IES College of Technology, Bhopal, MP 462044 India .
^§ Department of Optical Techniques, Al-Zahrawi University College, Iraq
^** The Islamic university, Najaf, Karbala, Iraq
⁶ Assistant professor, Department of Data Science, K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode, Mail id : m.lakumanan@ksrcas.edu

^* Corresponding Author :vinodbalmiki111@gmail.com
^† c.santhoshkumar_civil@psvpec.in
^‡ research@iesbpl.ac.in
^§ laithfizaa@gmail.com
^** muntatheralmusawi@gmail.com

Abstract

In today’s rapidly evolving world, the demand for energy is steadily increasing, while the need for sustainability and efficient resource utilization becomes ever more critical. Smart Energy Management Systems (SEMS) are poised to play a pivotal role in addressing these challenges. Leveraging the power of Machine Learning (ML), SEMS offer a promising avenue to optimize energy consumption, enhance grid reliability, and reduce carbon footprints. This review article provides an in-depth exploration of the current state of Smart Energy Management Systems empowered by Machine Learning, highlighting their key components, applications, challenges, and future prospects.