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    Daily Generation Scheduling of Cascade Hydro Plants Considering Peak Shaving Constraints 

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 004
    Author(s): Mengfei Xie; Jianzhong Zhou; Chunlong Li; Peng Lu
    Publisher: American Society of Civil Engineers
    Abstract: This paper considers the operation of hydro plants, tackles the problem of daily hydro-generation scheduling (DHGS), and obtains the optimal hourly operation of cascade hydropower reservoirs. To meet the practical operational ...
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    Determination of Input for Artificial Neural Networks for Flood Forecasting Using the Copula Entropy Method 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 011
    Author(s): Lu Chen; Lei Ye; Vijay Singh; Jianzhong Zhou; Shenglian Guo
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural networks (ANNs) have proved to be an efficient alternative to traditional methods for hydrological modeling. One of the most important steps in the ANN development is the determination of significant input ...
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    Novel Multiobjective Shuffled Frog Leaping Algorithm with Application to Reservoir Flood Control Operation 

    Source: Journal of Water Resources Planning and Management:;2010:;Volume ( 136 ):;issue: 002
    Author(s): Yinghai Li; Jianzhong Zhou; Yongchuan Zhang; Hui Qin; Li Liu
    Publisher: American Society of Civil Engineers
    Abstract: Reservoir flood control operation (RFCO) is a large scale multiobjective problem with complex constraints that require powerful algorithms to solve it. As a new metaheuristic evolutionary algorithm, shuffled frog leaping ...
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    Optimal Operation of Large-Scale Cascaded Hydropower Systems in the Upper Reaches of the Yangtze River, China 

    Source: Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 004
    Author(s): Rui Zhang; Jianzhong Zhou; Huifeng Zhang; Xiang Liao; Xuemin Wang
    Publisher: American Society of Civil Engineers
    Abstract: In recent decades, there has been a rapid rate of development of hydropower in China. The unprecedented rate of expansion, development scale, and large numbers of hydropower plants have posed a challenge to the operation ...
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    Downstream Water Level Prediction of Reservoir based on Convolutional Neural Network and Long Short-Term Memory Network 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 009:;page 04021060-1
    Author(s): Zhendong Zhang; Hui Qin; Liqiang Yao; Yongqi Liu; Zhiqiang Jiang; Zhongkai Feng; Shuo Ouyang; Shaoqian Pei; Jianzhong Zhou
    Publisher: ASCE
    Abstract: Accurate calculation of power generation output is crucial to the operation and management of reservoir. The calculation of power generation output is related to the downstream water level, which usually is obtained by ...
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