{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:34:04Z","timestamp":1771702444420,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>The use of clean and renewable energy sources is increasingly important, for economic and environmental reasons. Wind plays a key role among renewable energy sources. Hence, the location, monitoring and maintenance of wind turbines are areas that have received more and more attention in recent years. The paper presents a survey of datasets of wind resources, wind farm installed capacity and wind farm operation, which contain generous amounts of data. Those datasets are important tools, freely available for analysis of wind resources and study of the performance of wind turbines. A short analysis of one of the datasets is also presented, identifying different operational regions, and the ones more likely to aggregate failures. Principal Component Analysis (PCA) is used to study wind turbines\u2019 behavior.<\/jats:p>","DOI":"10.3390\/en13184702","type":"journal-article","created":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T09:01:09Z","timestamp":1599642069000},"page":"4702","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Wind Farm and Resource Datasets: A Comprehensive Survey and Overview"],"prefix":"10.3390","volume":"13","author":[{"given":"Diogo","family":"Menezes","sequence":"first","affiliation":[{"name":"Polythecnic Institute of Coimbra\u2014ISEC, 3030-199 Coimbra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4313-7966","authenticated-orcid":false,"given":"Mateus","family":"Mendes","sequence":"additional","affiliation":[{"name":"Polythecnic Institute of Coimbra\u2014ISEC, 3030-199 Coimbra, Portugal"},{"name":"Institute of Systems and Robotics, University of Coimbra\u2014ISR, DEEC, 3030-290 Coimbra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4837-4349","authenticated-orcid":false,"given":"Jorge Alexandre","family":"Almeida","sequence":"additional","affiliation":[{"name":"Polythecnic Institute of Coimbra\u2014ISEC, 3030-199 Coimbra, Portugal"},{"name":"Electromechatronic Systems Research Centre, University Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9694-8079","authenticated-orcid":false,"given":"Torres","family":"Farinha","sequence":"additional","affiliation":[{"name":"Polythecnic Institute of Coimbra\u2014ISEC, 3030-199 Coimbra, Portugal"},{"name":"Centre for Mechanical Engineering, Materials and Processes, 3030-788 Coimbra, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5451","DOI":"10.1016\/j.rser.2012.06.006","article-title":"Renewable energy supply chains, performance, application barriers, and strategies for further development","volume":"16","author":"Wee","year":"2012","journal-title":"Renew. 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