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However, the energy generation of wind power is highly affected by uncertainty. Here, we consider the problem of designing the cable network that interconnects the turbines to the substation in wind farms, aiming to minimize both the infrastructure cost and the cost of the energy losses during the wind farm\u2019s lifetime. Nonetheless, the energy losses depend on wind direction and speed, which are rarely known with certainty in real situations. Hence, the design of the network should consider these losses as uncertain parameters. We assume that the exact probability distribution of these parameters is unknown but belongs to an ambiguity set and propose a distributionally robust two-stage mixed integer model. The model is solved using a decomposition algorithm. Three enhancements are proposed given the computational difficulty in solving real problem instances. Computational results are reported based on real data.<\/jats:p>","DOI":"10.1007\/s11750-023-00663-7","type":"journal-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T14:02:54Z","timestamp":1700748174000},"page":"202-223","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Wind farm layout optimization under uncertainty"],"prefix":"10.1007","volume":"32","author":[{"given":"Agostinho","family":"Agra","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7494-6566","authenticated-orcid":false,"given":"Adelaide","family":"Cerveira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,23]]},"reference":[{"key":"663_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.aej.2023.06.035","volume":"77","author":"M AlSaba","year":"2023","unstructured":"AlSaba M, Hakami N, AlJebreen K, Abido M (2023) Multi-objective distributionally robust approach for optimal location of renewable energy sources. 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