State-of-the-Art for Modelling Reservoir Inflows and Management Optimization

被引：0
|
作者：
Shi-Mei Choong
A. El-Shafie
机构：
[1] National University of Malaysia,Civil and Structural Engineering Department, Faculty of Engineering and Built Environment
来源：
Water Resources Management | 2015年 / 29卷
关键词：
Reservoir optimization; Inflow forecasting; Artificial bee colony;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A multi-purpose reservoir operation requires a good decision from the operator in order to maximize the value of water. Therefore, a good inflows modelling will be very helpful in providing a better optimization solution. By then, perplexing in the selection of the most preferable solution might happen to the operator. A comprehensive review of different computational intelligent models which applied in reservoir inflows modelling and management optimization is presented in this paper. The aim of this study is to review, compare and summarize their attempts along with difficulties in dealing with the water management problem. The benefits derived from such comparison are used to improve the performance of the existing models for future work. Study showed that models based evolutionary algorithm revealing a great potential in the management of reservoir operation. However more research about the most recent self-optimization modelling application needs to be revised.
引用
收藏
页码：1267 / 1282
页数：15
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