Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization
Joint Authors
Fan, Siyuan
Cao, Shengxian
Zhang, Yanhui
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The output stability of the photovoltaic (PV) system is directly affected by temperature change of PV panels.
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.
American Psychological Association (APA)
Fan, Siyuan& Cao, Shengxian& Zhang, Yanhui. 2020. Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1145500
Modern Language Association (MLA)
Fan, Siyuan…[et al.]. Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1145500
American Medical Association (AMA)
Fan, Siyuan& Cao, Shengxian& Zhang, Yanhui. Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1145500
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145500