Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line
Joint Authors
Li, Peng
Zhao, Na
Zhou, Donghua
Cao, Min
Li, Jingjie
Shi, Xinling
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The design of monitoring and predictive alarm systems is necessary for successful overhead power transmission line icing.
Given the characteristics of complexity, nonlinearity, and fitfulness in the line icing process, a model based on a multivariable time series is presented here to predict the icing load of a transmission line.
In this model, the time effects of micrometeorology parameters for the icing process have been analyzed.
The phase-space reconstruction theory and machine learning method were then applied to establish the prediction model, which fully utilized the history of multivariable time series data in local monitoring systems to represent the mapping relationship between icing load and micrometeorology factors.
Relevant to the characteristic of fitfulness in line icing, the simulations were carried out during the same icing process or different process to test the model’s prediction precision and robustness.
According to the simulation results for the Tao-Luo-Xiong Transmission Line, this model demonstrates a good accuracy of prediction in different process, if the prediction length is less than two hours, and would be helpful for power grid departments when deciding to take action in advance to address potential icing disasters.
American Psychological Association (APA)
Li, Peng& Zhao, Na& Zhou, Donghua& Cao, Min& Li, Jingjie& Shi, Xinling. 2014. Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048927
Modern Language Association (MLA)
Li, Peng…[et al.]. Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1048927
American Medical Association (AMA)
Li, Peng& Zhao, Na& Zhou, Donghua& Cao, Min& Li, Jingjie& Shi, Xinling. Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048927
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048927