Fuzzy Inference System for Robust Rule-Based Reservoir Operation under Nonstationary Inflows-Reference-Cited by-同舟云学术

Fuzzy Inference System for Robust Rule-Based Reservoir Operation under Nonstationary Inflows

Published:2017-04 Issue:4 Volume:143 Page:04016084
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Yang Pan¹,Ng Tze Ling²

Affiliation:

1. Graduate Fellow, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000743

Reference45 articles.

1. Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII

2. Adaptive Reservoir Operation Rules Under Climatic Change

3. Structural and Non-Structural Climate Change Adaptation Strategies for the Péribonka Water Resource System

4. Evaluation of Climatic-Change Impacts on Multiobjective Reservoir Operation with Multiobjective Genetic Programming

5. Derivation of monthly reservoir release policies

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