An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-23
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Ultra-short-term wind speed prediction can assist the operation and scheduling of wind turbines in the short term and further reduce the adverse effects of wind power integration.
However, as wind is irregular, nonlinear, and nonstationary, to accurately predict wind speed is a difficult task.
To this end, researchers have made many attempts; however, they often use only point forecasting or interval forecasting, resulting in imperfect prediction results.
Therefore, in this paper, we developed a prediction system integrating an advanced data preprocessing strategy, a novel optimization model, and multiple prediction algorithms.
This combined forecasting system can overcome the inherent disadvantages of the traditional forecasting methods and further improve the prediction performance.
To test the effectiveness of the forecasting system, the 10-min and one-hour wind speed sequences from the Sotavento wind farm in Spain were applied for conducting comparison experiments.
The results of both the interval forecasting and point forecasting indicated that, in terms of the forecasting capability and stability, the proposed system was better than the compared models.
Therefore, because of the minimum prediction error and excellent generalization ability, we consider this forecasting system to be an effective tool to assist smart grid programming.
American Psychological Association (APA)
Zhang, Haipeng& Luo, Hua. 2020. An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting. Complexity،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1143927
Modern Language Association (MLA)
Zhang, Haipeng& Luo, Hua. An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting. Complexity No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1143927
American Medical Association (AMA)
Zhang, Haipeng& Luo, Hua. An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting. Complexity. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1143927
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143927