Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir

Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir

Operation rule plays an important role in the scientific management of hydropower reservoirs, because a scientifically sound operating rule can help operators make an approximately optimal decision with limited runoff prediction information. In past decades, various effective methods have been devel...

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Bibliographic Details
Main Authors: Wen-Jing Niu, Zhong-Kai Feng, Bao-Fei Feng, Yao-Wu Min, Chun-Tian Cheng, Jian-Zhong Zhou
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Water
Subjects:
hydropower reservoir
operation rule derivation
multiple linear regression
artificial neural network
extreme learning machine
support vector machine
dynamic programming
Online Access:http://www.mdpi.com/2073-4441/11/1/88

Internet

http://www.mdpi.com/2073-4441/11/1/88

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