期刊論文
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/67846 ) |