The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line
Joint Authors
Niu, Dongxiao
Lu, Yan
Xu, Xiaomin
Wang, Peng
Xia, Huicong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Not only can the icing coat on transmission line cause the electrical fault of gap discharge and icing flashover but also it will lead to the mechanical failure of tower, conductor, insulators, and others.
It will bring great harm to the people’s daily life and work.
Thus, accurate prediction of ice thickness has important significance for power department to control the ice disaster effectively.
Based on the analysis of standard support vector machine, this paper presents a weighted support vector machine regression model based on the similarity (WSVR).
According to the different importance of samples, this paper introduces the weighted support vector machine and optimizes its parameters by hybrid swarm intelligence optimization algorithm with the particle swarm and ant colony (PSO-ACO), which improves the generalization ability of the model.
In the case study, the actual data of ice thickness and climate in a certain area of Hunan province have been used to predict the icing thickness of the area, which verifies the validity and applicability of this proposed method.
The predicted results show that the intelligent model proposed in this paper has higher precision and stronger generalization ability.
American Psychological Association (APA)
Xu, Xiaomin& Niu, Dongxiao& Wang, Peng& Lu, Yan& Xia, Huicong. 2015. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074750
Modern Language Association (MLA)
Xu, Xiaomin…[et al.]. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074750
American Medical Association (AMA)
Xu, Xiaomin& Niu, Dongxiao& Wang, Peng& Lu, Yan& Xia, Huicong. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074750
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074750