An optimization method for integrated demand response strategies for electricity and heat considering the uncertainty of user-side loads
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Researchers are exploring methods to optimize demand response strategies for integrated energy systems, considering factors such as uncertainty of user-side loads and dynamic energy efficiency. Various approaches are being investigated, including multi-objective optimization, machine learning frameworks, and adaptive energy management systems. The goal of these efforts appears to be improving the efficiency and sustainability of energy systems, although the specific outcomes and applications of these methods are not clearly defined.
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