Empowering the Grid: Applications and Challenges of Machine Learning in Renewable Energy Resources

Akshay Juneja; Deepak Painuli; Ishant Jagotra; Priyanka Kumari; Hutashan Vishal Bhagat

doi:10.70454/IJMRE.2025.05031

Authors

Akshay Juneja Computer Science and Engineering Department, College of Smart Computing, COER University, Roorkee, Uttarakhand, India Author
Deepak Painuli Computer Science and Engineering Department, College of Smart Computing, COER University, Roorkee, Uttarakhand, India Author
Ishant Jagotra Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala. Punjab, India Author
Priyanka Kumari Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala. Punjab, India Author
Hutashan Vishal Bhagat Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Punjab, Mohali, Punjab, India Author

DOI:

https://doi.org/10.70454/IJMRE.2025.05031

Keywords:

Renewable energy sources, Machine learning, Regression, Clustering, Classifications

Abstract

Integration of renewable energy systems, into the electrical grid has been investigated in the present research, with a special focus on the use of machine learning (ML) techniques in power system operations. In the framework of renewable energy, it critically investigates the applications of machine learning (ML) in forecasting, efficiency improvement, problem detection, and system optimization. The paper also discusses the primary challenges to implementing AI-driven solutions in contemporary power systems, including the need for quick decisions, cybersecurity risks, limitations on data availability and quality, and the difficulties of integrating with current grid infrastructure. This paper aims to provide an in-depth understanding of how intelligent algorithms are transforming the future of the electrical sector by highlighting both the revolutionary potential and the implementation challenges of AI technology in energy systems.

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