Hybrid weighted probabilistic neural network and biogeography based optimization for dynamic economic dispatch of integrated multiple-fuel and wind power plants-Reference-Cited by-同舟云学术

Hybrid weighted probabilistic neural network and biogeography based optimization for dynamic economic dispatch of integrated multiple-fuel and wind power plants

Published:2016-05 Issue: Volume:77 Page:385-394
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

krishnasamy Umamaheswari,Nanjundappan Devarajan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference24 articles.

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3. Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels;Chiang;IEEE Trans Power Syst,2005

4. Hybrid integer coded differential evolution–dynamic programming approach for economic load dispatch with multiple fuel options;Balamurugan;Energy Convers Manage,2008

5. Particle swarm optimization for various types of economic dispatch problems;Jeyakumar;Int J Electr Power Energy Syst,2006

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