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dc.creatorCISNEROS-SALDANA, Jorge Ignacio D.
dc.creatorBUTENKO, Sergiy
dc.creatorHOSSEINIAN, mohammadhossein
dc.date.accessioned2023-04-05T17:19:20Z
dc.date.available2023-04-05T17:19:20Z
dc.date.issued2018-11-29
dc.identifier.citationJorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO. Network-based optimization techniques for wind farm location decisions. Front. Eng, https://doi.org/10.15302/J-FEM-2018025en_US
dc.identifier.urihttps://hdl.handle.net/1969.1/197528
dc.description2018 The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)en_US
dc.description.abstractThis study aims to find appropriate locations for wind farms that can maximize the overall energy output while controlling the effects of wind speed variability. High wind speeds are required to obtain the maximum possible power output of a wind farm. However, balancing the wind energy supplies over time by selecting diverse locations is necessary. These issues are addressed using network-based models. Hence, actual wind speed data are utilized to demonstrate the advantages of the proposed approach.en_US
dc.description.sponsorshipWe would like to thank the anonymous reviewers for their insightful comments. The partial support of the Ministny of Education of Bolivia Texas A&M Energy Institute is also gratefully acknowledged.en_US
dc.language.isoen_USen_US
dc.publisherFrontiers of Engineering Management, vol. 5, no. 4, p. 533, 2018en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceFrontiers of Engineering Management, vol. 5, no. 4, p. 533, 2018
dc.subjectwind energyen_US
dc.subjectwind farm locationen_US
dc.subjectnetwork analysisen_US
dc.subjectoptimizationen_US
dc.subjectcliqueen_US
dc.subjects-plexen_US
dc.subjectrenewable energyen_US
dc.subjectpower griden_US
dc.subjectplanningen_US
dc.titleNetwork-based optimization techniques for wind farm location decisionsen_US
dc.typeArticleen_US
local.departmentElectrical and Computer Engineeringen_US
dc.identifier.doi10.15302/J-FEM-2018025


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Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International