Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-04
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Wind speed high-accuracy forecasting, an important part of the electrical system monitoring and control, is of the essence to protect the safety of wind power utilization.
However, the wind speed signals are always intermittent and intrinsic complexity; therefore, it is difficult to forecast them accurately.
Many traditional wind speed forecasting studies have focused on single models, which leads to poor prediction accuracy.
In this paper, a new hybrid model is proposed to overcome the shortcoming of single models by combining singular spectrum analysis, modified intelligent optimization, and the rolling Elman neural network.
In this model, except for the multiple seasonal patterns used to reduce interferences from the original data, the rolling model is utilized to forecast the multistep wind speed.
To verify the forecasting ability of the proposed hybrid model, 10 min and 60 min wind speed data from the province of Shandong, China, were proposed in this paper as the case study.
Compared to the other models, the proposed hybrid model forecasts the wind speed with higher accuracy.
American Psychological Association (APA)
Yang, Zhongshan& Wang, Jian. 2016. Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1112055
Modern Language Association (MLA)
Yang, Zhongshan& Wang, Jian. Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network. Mathematical Problems in Engineering No. 2016 (2016), pp.1-21.
https://search.emarefa.net/detail/BIM-1112055
American Medical Association (AMA)
Yang, Zhongshan& Wang, Jian. Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1112055
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112055