首页|Study Findings on Machine Learning Discussed by a Researcher at Kwangwoon University (Recent Trends and Issues of Energy Management Systems Using Machine Learning)
Study Findings on Machine Learning Discussed by a Researcher at Kwangwoon University (Recent Trends and Issues of Energy Management Systems Using Machine Learning)
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Researchers detail new data in artificial intelligence. According to news reporting out of Seoul, South Korea, by NewsRx editors, research stated, "Energy management systems (EMSs) are regarded as essential components within smart grids." Our news reporters obtained a quote from the research from Kwangwoon University: "In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS empowered by machine learning (ML) has been addressed as a promising solution. A comprehensive review of current literature and trends has been conducted with a focus on key areas, such as distributed energy resources, energy management information systems, energy storage systems, energy trading risk management systems, demand-side management systems, grid automation, and self-healing systems. The application of ML in EMS is discussed, highlighting enhancements in data analytics, improvements in system stability, facilitation of efficient energy distribution and optimization of energy flow."
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