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Revolutionizing Energy Management: The Impact of AI and Machine Learning Technologies

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  • Vinodkumar Devarajan

    (Dell Technologies, USA)

Abstract

The integration of Artificial Intelligence and Machine Learning technologies is revolutionizing the energy sector by transforming energy optimization, predictive maintenance, and smart grid management. From advanced demand forecasting to dynamic pricing mechanisms, these technologies enable sophisticated control and monitoring of power distribution networks. The implementation of predictive maintenance systems with sensor analytics and anomaly detection frameworks has enhanced equipment reliability and operational efficiency. Smart grid management through AI-driven optimization and edge computing capabilities has improved grid stability and monitoring capabilities. Technical considerations in infrastructure requirements and algorithm selection have led to optimized system performance, while emerging developments in quantum computing and privacy preservation technologies promise further advancements in energy management systems.

Suggested Citation

  • Vinodkumar Devarajan, 2025. "Revolutionizing Energy Management: The Impact of AI and Machine Learning Technologies," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(3), pages 327-333, April.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:3:id:9349
    DOI: 10.32996/jcsts.2025.7.3.37
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