Applications of Artificial Intelligence in Energy
Artificial intelligence (AI) is transforming energy systems by enabling intelligent control, prediction, and optimization across the energy value chain. AI applications include load forecasting, renewable generation prediction, fault detection, predictive maintenance, and energy market optimization. Machine learning algorithms process large datasets from sensors, smart meters, and grid devices to enhance system efficiency and reliability. AI supports smart grids, microgrids, energy storage management, and electric vehicle integration. By improving decision-making and automation, AI reduces operational costs, minimizes outages, and enhances renewable energy integration. As energy systems become increasingly complex and data-driven, artificial intelligence plays a critical role in enabling flexible, resilient, and sustainable energy infrastructures.
Dai Yeun Jeong
Asia Climate Change Education Center, Korea, Republic of
Scott Kelly
University of Cambridge, United Kingdom
Deinar Agudelo Ortiz
Natural Motos sas, Colombia
Ricson Chude
Association of Energy Engineers, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Sabine Rode
University of Lorraine, France
Vladimir Chigrinov
Hong Kong University of Science and Technology, Hong KongSubmit your abstract Today
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Scott Kelly, University of Cambridge, United Kingdom
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Mustafa Ergin Sahin, RTE University, Turkey