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浏览/检索结果: 共26条，第1-10条 帮助 限定条件 专题：大连理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A mixed integer linear programming model for unit commitment of thermal plants with peak shaving operation aspect in regional power grid lack of flexible hydropower energy 期刊论文 ENERGY, 2019, 卷号: 175, 页码: 618-629 作者:  Feng, Zhong-kai;  Niu, Wen-jing;  Wang, Wen-chuan;  Zhou, Jian-zhong;  Cheng, Chun-tian 收藏  |  浏览/下载：61/0  |  提交时间：2019/12/02 Mixed integer linear programming (MILP)  Thermal power plants  Unit commitment  Peak shaving operation  Regional power grid   Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir 期刊论文 WATER, 2019, 卷号: 11 作者:  Niu, Wen-Jing;  Feng, Zhong-Kai;  Feng, Bao-Fei;  Min, Yao-Wu;  Cheng, Chun-Tian 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/02 hydropower reservoir  operation rule derivation  multiple linear regression  artificial neural network  extreme learning machine  support vector machine  dynamic programming   China's large-scale hydropower system: operation characteristics, modeling challenge and dimensionality reduction possibilities 期刊论文 RENEWABLE ENERGY, 2019, 卷号: 136, 页码: 805-818 作者:  Feng, Zhong-kai;  Niu, Wen-jing;  Cheng, Chun-tian 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/02 Large-scale hydropower system  Optimal operation  Dimensionality problem  Model dimensionality reduction  China   Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization 期刊论文 JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238 作者:  Feng, Zhong-kai;  Niu, Wen-jing;  Zhang, Rui;  Wang, Sen;  Cheng, Chun-tian 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02 Hydropower reservoir  Operation rule derivation  k-Means clustering  Extreme learning machine  Particle swarm optimization   Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm 期刊论文 APPLIED SOFT COMPUTING, 2019, 卷号: 82 作者:  Niu, Wen-jing;  Feng, Zhong-kai;  Zeng, Ming;  Feng, Bao-fei;  Min, Yao-wu 收藏  |  浏览/下载：20/0  |  提交时间：2019/12/02 Monthly streamflow prediction  Ensemble empirical mode decomposition (EEMD)  Extreme learning machine (ELM)  Improved gravitational search algorithm (IGSA)  Mutation and selection operators   Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm 期刊论文 ENERGY, 2018, 卷号: 153, 页码: 706-718 作者:  Feng, Zhong-kai;  Niu, Wen-jing;  Cheng, Chun-tian 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Hydropower system operation  Multi-objective optimization  Genetic algorithm  Parallel computing  Constraint handling method  Fork/join framework   Developing a successive linear programming model for head-sensitive hydropower system operation considering power shortage aspect 期刊论文 ENERGY, 2018, 卷号: 155, 页码: 252-261 作者:  Feng, Zhong-kai;  Niu, Wen-jing;  Wang, Sen;  Cheng, Chun-tian;  Jiang, Zhi-qiang 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Hydropower system  Cascaded reservoirs  Optimal operation  Electricity shortage  Linear programming  Successive approximation   Optimal allocation of hydropower and hybrid electricity injected from inter-regional transmission lines among multiple receiving-end power grids in China 期刊论文 ENERGY, 2018, 卷号: 162, 页码: 444-452 作者:  Feng, Zhong-kai;  Niu, Wen-jing;  Cheng, Chun-tian 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 Peak shaving operation  Inter-regional transmission electricity  Mixed integer linear programming  Multiple receiving-end power grids  Optimal generation allocation  Hydropower and hybrid electricity   A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China 期刊论文 APPLIED SOFT COMPUTING, 2018, 卷号: 70, 页码: 562-575 作者:  Niu, Wen-jing;  Feng, Zhong-kai;  Cheng, Chun-tian;  Wu, Xin-yu 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02 Cascade hydropower system operation  Multi-objective optimization  Particle swarm optimization  Parallel computing  Constraint handling method   Min-Max Linear Programming Model for Multireservoir System Operation with Power Deficit Aspect 期刊论文 JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2018, 卷号: 144 作者:  Niu, Wen-jing;  Feng, Zhong-kai;  Cheng, Chun-tian 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/02 Multireservoir system  Optimal operation  Hydropower generation  Linear programming  Power deficit