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Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme
Joint Authors
Nie, Ying
Bo, He
Zhang, Weiqun
Zhang, Haipeng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-18
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Wind energy analysis and wind speed modeling have a significant impact on wind power generation systems and have attracted significant attention from many researchers in recent decades.
Based on the inherent characteristics of wind speed, such as nonlinearity and randomness, the prediction of wind speed is considered to be a challenging task.
Previous studies have only considered point prediction or interval measurement of wind speed separately and have not combined these two methods for prediction and analysis.
In this study, we developed a novel hybrid wind speed double prediction system comprising a point prediction module and interval prediction module to compensate for the shortcomings of existing research.
Regarding point prediction in the developed double prediction system, a novel nonlinear integration method based on a backpropagation network optimized using the multiobjective evolutionary algorithm based on decomposition was successfully implemented to derive the final prediction results, which enable further improvement of the accuracy of point prediction.
Based on point prediction results, we propose an interval prediction method that constructs different intervals according to the classification of different data features via fuzzy clustering, which provides reliable interval prediction results.
The experimental results demonstrate that the proposed system outperforms existing methods in engineering applications and can be used as an effective technology for power system planning.
American Psychological Association (APA)
Nie, Ying& Bo, He& Zhang, Weiqun& Zhang, Haipeng. 2020. Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme. Complexity،Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1145684
Modern Language Association (MLA)
Nie, Ying…[et al.]. Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme. Complexity No. 2020 (2020), pp.1-22.
https://search.emarefa.net/detail/BIM-1145684
American Medical Association (AMA)
Nie, Ying& Bo, He& Zhang, Weiqun& Zhang, Haipeng. Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme. Complexity. 2020. Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1145684
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145684