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In this paper, a novel temperature prediction method of PV panels with support vector machine (SVM) is proposed, which can solve the temperature prediction problem in a complex environment. In order to optimize parameters of SVM, a Pigeon-Inspired Optimization (PIO) method is given. Meanwhile, the delay factor (DF) is added to improve the PIO algorithm for avoiding the problem of local optimum. Moreover, a multisensor monitoring system of PV is established, and the collected data of temperature are used to train and verify the accuracy of the model. Finally, the proposed method is evaluated using synthetic and actual data sets. Simulation results show that the DFPIO-SVM can obtain better predictive performance.<\/jats:p>","DOI":"10.1155\/2020\/9278162","type":"journal-article","created":{"date-parts":[[2020,12,19]],"date-time":"2020-12-19T01:20:11Z","timestamp":1608340811000},"page":"1-12","source":"Crossref","is-referenced-by-count":8,"title":["Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization"],"prefix":"10.1155","volume":"2020","author":[{"given":"Siyuan","family":"Fan","sequence":"first","affiliation":[{"name":"School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0797-5236","authenticated-orcid":true,"given":"Shengxian","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1244-5723","authenticated-orcid":true,"given":"Yanhui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.03.180"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.05.097"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.2298\/tsci130613134b"},{"key":"4","doi-asserted-by":"crossref","first-page":"165","DOI":"10.2298\/TSCI131216025A","article-title":"Outdoor testing of photovoltaic modules during summer in Taxila, Pakistan","volume":"20","author":"H. 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