Smart Grid Technologies: AI and ML for Enhanced Energy Management

Authors

  • Manisha B. Gaikwad Assistant Professor, Department of Electrical Engineering, Ramdeobaba University, (Formerly Shri Ramdeobaba College of Engineering and Management), India
  • Sangam Malla Assistant Professor, Department of Computer Science, Udayanath Autonomous College of Science and Technology, India
  • K Hussain Associate Professor and Head, Department of Electrical Engineering, Sharad Institute of Technology College of Engineering, India
  • Y Jeevan Nagendra Kumar Professor and HoD, Department of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, India
  • K. Neelima Assistant Professor, Department of Information Technology, St.Martin's Engineering College, India

DOI:

https://doi.org/10.63278/mme.v31i1.1308

Keywords:

Smart grid, artificial intelligence, machine learning, energy management, predictive analytics, demand response, fault detection.

Abstract

The growing complexity of power systems necessitates intelligent solutions for efficient energy management. The various smart grid technologies integrate the artificial intelligence (AI) and machine learning (ML) to optimize energy distribution, predict the demand and provide the grid with enhanced resilience. Predictive analytics, demand response and fault detection are some of the main aspects that are discussed in this paper regarding the intelligent use of AI and ML in the modern smart grids. In doing this for recent advancements and case studies, we bring up the advantages of AI driven energy management in the forms of improved efficiency, reduced costs, and reduced environmental impact.

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Published

2025-01-22

How to Cite

Manisha B. Gaikwad, Sangam Malla, K Hussain, Y Jeevan Nagendra Kumar, and K. Neelima. 2025. “Smart Grid Technologies: AI and ML for Enhanced Energy Management ”. Metallurgical and Materials Engineering 31 (1):763-71. https://doi.org/10.63278/mme.v31i1.1308.

Issue

Vol. 31 No. 1 (2025)

Section

Research

License

Copyright (c) 2025 Manisha B. Gaikwad, Sangam Malla, K Hussain, Y Jeevan Nagendra Kumar, K. Neelima

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