Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization-Reference-Cited by-同舟云学术

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Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization

Published:2019-09 Issue: Volume:576 Page:229-238
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Feng Zhong-kai,Niu Wen-jing,Zhang Rui,Wang Sen,Cheng Chun-tian

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference73 articles.

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2. Hydro energy systems management in Portugal: profit-based evaluation of a mixed-integer nonlinear approach;Catalão;Energy,2011

3. Optimization of water resources utilization by PSO-GA;Chang;Water Resour. Manag.,2013

4. Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River;Chau;J. Hydrol.,2006

5. Integrated water quality management in Tolo Harbour, Hong Kong: a case study;Chau;J. Clean. Prod.,2007

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