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机译:基于深度学习的太阳能和负荷预测的社区微电网最优负荷分配
Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China|Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Minist Educ, Hefei 230009, Anhui, Peoples R China;
Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China|Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Minist Educ, Hefei 230009, Anhui, Peoples R China|City Univ Hong Kong, Kowloon, Hong Kong, Peoples R China;
Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China|Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Minist Educ, Hefei 230009, Anhui, Peoples R China;
Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China|Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Minist Educ, Hefei 230009, Anhui, Peoples R China;
Optimal load dispatch; Community microgrid; Load forecasting; Solar power; Deep learning;
机译:智能微电网电力负荷和可再生能源预测的深度学习方法调查
机译:考虑长期负荷需求预测,多年负荷基于Grid Grown的最佳规划网格连接的微普里德:伊朗德黑兰的案例研究
机译:考虑交直流混合微电网负荷和可再生能源发电不确定性的最优电力分配
机译:利用自适应学习算法优化低负荷因数电力系统的短期负荷预测,以优化绩效顺序
机译:结合负荷和太阳预报的马尔可夫决策过程在微电网中优化电池
机译:基于深度多任务学习在工业公园综合能源系统中的电力热量和气体负荷预测
机译:使用自适应学习算法优化低负载因子功率系统的短期负荷预测