Study on computational grids in placement of wind turbines using genetic algorithm-Reference-Cited by-同舟云学术

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Study on computational grids in placement of wind turbines using genetic algorithm

Published:2009-09 Issue: Volume: Page:
ISSN:
Container-title:2009 World Non-Grid-Connected Wind Power and Energy Conference
language:
Short-container-title:

Author:

Wang Feng,Liu Deyou,Zeng Lihua

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5318951/5335749/05335776.pdf?arnumber=5335776

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Wind Farm Layout Optimization Subject to Cable Cost, Hub Height, and a Feasible 3D Gaussian Wake Model Implementation;Journal of Energy and Power Technology;2024-03-15

2. Nonlinear and Sampled Data Control of Wind Turbine;Advances in Modelling and Control of Wind and Hydrogenerators;2020-04-01

3. Multi-objective optimization of wind farm layouts – Complexity, constraint handling and scalability;Renewable and Sustainable Energy Reviews;2016-11

4. A hybrid extended pattern search/genetic algorithm for multi-stage wind farm optimization;Optimization and Engineering;2016-01-14

5. Windmill farm pattern optimization using evolutionary algorithms;Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation;2014-07-12

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