Applying wavelet transformation and artificial neural networks to develop forecasting-based reservoir operating rule curves
Author:
Affiliation:
1. Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Funder
Shahid Chamran University of Ahvaz
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1784902
Reference56 articles.
1. Adaptive Reservoir Operation Rules Under Climatic Change
2. Simultaneous Optimization of Operating Rules and Rule Curves for Multireservoir Systems Using a Self-Adaptive Simulation-GA Model
3. Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
4. Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand
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