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

Niu, Wenjing; Feng, Zhong-kai; Feng, Baofei; Min, Yao-wu; Cheng, Chuntian; Zhou, Jianzhong

doi:10.3390/w11010088

Public

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

Published in Water • Jan 7, 2019

Authors:

Wenjing Niu

Zhong-kai Feng

Baofei Feng

Abstract

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...

Subject

Support vector machine

Artificial neural network

Extreme learning machine

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