Integration of AI and Machine Learning in Electrical Engineering: Revolutionizing Power Systems

  • Priyanshi Negi Assistant professor College of Engineering, Pune.

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in electrical engineering has sparked a transformative era in power systems. This review explores the pivotal role played by AI and ML in reshaping traditional practices within the realm of power systems engineering. It delves into the applications of these technologies, including grid efficiency enhancement, predictive maintenance, and the integration of renewable energy sources. Challenges and future directions are also discussed, highlighting the potential for continued innovation to revolutionize power systems and foster a more sustainable energy landscape. The abstract encapsulates the strides made by AI and ML in revolutionizing power systems, emphasizing their critical role in driving efficiency, reliability, and sustainability in electrical engineering.

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Published
2024-01-17
How to Cite
NEGI, Priyanshi. Integration of AI and Machine Learning in Electrical Engineering: Revolutionizing Power Systems. Journal of Advanced Research in Electrical Engineering and Technology, [S.l.], v. 6, n. 2, p. 12-15, jan. 2024. Available at: <http://thejournalshouse.com/index.php/electrical-engg-technology/article/view/917>. Date accessed: 02 may 2024.