Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII-Reference-Cited by-同舟云学术

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

Published:2015-11 Issue:11 Volume:141 Page:04015029
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Aboutalebi Mahyar¹,Bozorg Haddad Omid²,Loáiciga Hugo A.³

Affiliation:

1. M.Sc. Graduate Student, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 14378-35693 Tehran, Iran.

2. Associate Professor, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 31587-77871 Tehran, Iran (corresponding author).

3. Professor, Dept. of Geography, Univ. of California, Santa Barbara, CA 93106-4060.

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.1943-5452.0000553

Reference60 articles.

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5. Discussion of “Prediction of Missing Rainfall Data Using Conventional and Artificial Neural Network Techniques,” by U.C. Roman, P.L. Patel, and P.D. Porey, Journal of Hydraulic Engineering, September 2012, Vol. 18, No. 3, pp. 224-231.

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