A comprehensive review of soft computing algorithms for optimal generation scheduling-Reference-Cited by-同舟云学术

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A comprehensive review of soft computing algorithms for optimal generation scheduling

Published:2020-09-08 Issue:2 Volume:45 Page:1170-1189
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Lolla Phani Raghav¹^ORCID,Rangu Seshu Kumar¹^ORCID,Dhenuvakonda Koteswara Raju¹^ORCID,Singh Arvind R.²^ORCID

Affiliation:

1. Department of Electrical Engineering National Institute of Technology Silchar India

2. School of Electrical Engineering Shandong University Jinan China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5759

Reference124 articles.

1. Efficient evolutionary strategy optimisation procedure to solve the nonconvex economic dispatch problem with generator constraints

2. Economic dispatch using an efficient real-coded genetic algorithm

3. Improved Genetic Algorithm for Power Economic Dispatch of Units With Valve-Point Effects and Multiple Fuels

4. Biogeography-Based Optimization for Different Economic Load Dispatch Problems

5. Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect

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