Risk management of wind farm micro-siting using an enhanced genetic algorithm with simulation optimization
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DOI: 10.1016/j.renene.2017.02.036
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Cited by:
- Ju, Xinglong & Liu, Feng, 2019. "Wind farm layout optimization using self-informed genetic algorithm with information guided exploitation," Applied Energy, Elsevier, vol. 248(C), pages 429-445.
- Atul Patil & Chaitanya Pathak & Bejoy Alduse, 2023. "Review of Natural Hazard Risks for Wind Farms," Energies, MDPI, vol. 16(3), pages 1-29, January.
- Cansu Kandemir & Holly A. H. Handley, 2019. "Work process improvement through simulation optimization of task assignment and mental workload," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 389-427, December.
- Wang, Longyan & Cholette, Michael E. & Tan, Andy C.C. & Gu, Yuantong, 2017. "A computationally-efficient layout optimization method for real wind farms considering altitude variations," Energy, Elsevier, vol. 132(C), pages 147-159.
- Hu, Weicheng & Yang, Qingshan & Yuan, Ziting & Yang, Fucheng, 2024. "Wind farm layout optimization in complex terrain based on CFD and IGA-PSO," Energy, Elsevier, vol. 288(C).
- Serrano González, Javier & Burgos Payán, Manuel & Riquelme Santos, Jesús Manuel, 2018. "Optimal design of neighbouring offshore wind farms: A co-evolutionary approach," Applied Energy, Elsevier, vol. 209(C), pages 140-152.
- Dhunny, A.Z. & Doorga, J.R.S. & Allam, Z. & Lollchund, M.R. & Boojhawon, R., 2019. "Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling," Energy, Elsevier, vol. 188(C).
- Dinçer, A.E. & Demir, A. & Yılmaz, K., 2024. "Multi-objective turbine allocation on a wind farm site," Applied Energy, Elsevier, vol. 355(C).
- Yang, Kyoungboo & Kwak, Gyeongil & Cho, Kyungho & Huh, Jongchul, 2019. "Wind farm layout optimization for wake effect uniformity," Energy, Elsevier, vol. 183(C), pages 983-995.
- Nagababu, Garlapati & Puppala, Harish & Pritam, Kocherlakota & Kantipudi, MVV Prasad, 2022. "Two-stage GIS-MCDM based algorithm to identify plausible regions at micro level to install wind farms: A case study of India," Energy, Elsevier, vol. 248(C).
- Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
- Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
- Azlan, F. & Kurnia, J.C. & Tan, B.T. & Ismadi, M.-Z., 2021. "Review on optimisation methods of wind farm array under three classical wind condition problems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
- Vujičić, Slađana & Nikitović, Zorana & Golubović-Stojanović, Aleksandra & Ravić, Nenad & Djuričić, Milan, 2018. "Information system for wind energy trade and gross domestic product (GDP) estimating from small wind farm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 702-706.
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Keywords
Enhanced genetic algorithm; Micro-siting; Risk management; Simulation optimization; What-if analysis; Wind farm;All these keywords.
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