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机译:考虑流入预测的级联水电站水库深度加固学习
Chongqing Jiaotong Univ Coll River & Ocean Engn Chongqing Peoples R China|Chongqing Jiaotong Univ Natl Engn Res Ctr Inland Waterway Regulat Chongqing Peoples R China;
North China Univ Water Resources & Elect Power Sch Water Conservancy Zhengzhou Peoples R China;
Nanjing Hydraul Res Inst State Key Lab Hydrol Water Resources & Hydraul En Nanjing Peoples R China;
Chongqing Jiaotong Univ Coll River & Ocean Engn Chongqing Peoples R China|Chongqing Jiaotong Univ Natl Engn Res Ctr Inland Waterway Regulat Chongqing Peoples R China;
Aggregation-disaggregation model; Bayesian theory; Cascaded hydropower reservoirs; Deep reinforcement learning; Large discrete action space;
机译:一种改进的准节奏方法,用于预测伏尔加卡马水电站梯级水库的年侧流量
机译:深度加固学习,实现最佳水电站运行
机译:通过补充建模框架改善对水电水库的实时流量预测
机译:水电站储层运营流入预测系统的性能
机译:梯级水库水电系统的建模与控制。
机译:学习机器人:深增强学习仿制学习转移学习
机译:最优水电站运行的深度加固学习
机译:利用远程和现场传感器实现水库水系统的最优实时预测和控制。第1卷。预测水库流入量