Intelligent control for modelling or real-time reservoir operation
學年 89
學期 2
出版（發表）日期 2001-06-01
作品名稱 Intelligent control for modelling or real-time reservoir operation
作品名稱（其他語言）
著者 張麗秋; Chang, Li-chiu; Chang, Fi-john
單位 淡江大學水資源及環境工程學系
出版者 Wiley Online
著錄名稱、卷期、頁數 Hydrological processes 15(9), pp.1621-1634
摘要 This paper presents a new approach to improving real-time reservoir operation. The approach combines two major procedures: the genetic algorithm (GA) and the adaptive network-based fuzzy inference system (ANFIS). The GA is used to search the optimal reservoir operating histogram based on a given inflow series, which can be recognized as the base of input–output training patterns in the next step. The ANFIS is then built to create the fuzzy inference system, to construct the suitable structure and parameters, and to estimate the optimal water release according to the reservoir depth and inflow situation. The practicability and effectiveness of the approach proposed is tested on the operation of the Shihmen reservoir in Taiwan. The current M-5 operating rule curves of the Shihmen reservoir are also evaluated. The simulation results demonstrate that this new approach, in comparison with the M-5 rule curves, has superior performance with regard to the prediction of total water deficit and generalized shortage index (GSI). Copyright © 2001 John Wiley & Sons, Ltd.
關鍵字
語言 en
ISSN
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度 否
國別 TWN
公開徵稿
出版型式 ,電子版
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