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The document discusses the role of AI in optimizing electricity demand forecasting and smart EV charging systems to support sustainable energy management. It includes a critical review of AI applications, a case study on the CrowdBalance project, and a detailed methodology for half-hourly electricity demand forecasting using machine learning techniques. The findings highlight the effectiveness of AI in reducing peak demand and improving grid flexibility while providing recommendations for policy and infrast

Author

noorjamal5300

Language

EN