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Water Resources Management

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01-03-2015

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

Authors: Shi-Mei Choong, A. El-Shafie

Published in: Water Resources Management | Issue 4/2015

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Abstract

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.

previous article Adaptive Reservoir Operation Rules Under Climatic Change

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Title: State-of-the-Art for Modelling Reservoir Inflows and Management Optimization
Authors: Shi-Mei Choong
A. El-Shafie
Publication date: 01-03-2015
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 4/2015
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-014-0872-z

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