![](/images/graphics-bg.png)
A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A new hybrid wind speed prediction approach, which uses fast block least mean square (FBLMS) algorithm and artificial neural network (ANN) method, is proposed.
FBLMS is an adaptive algorithm which has reduced complexity with a very fast convergence rate.
A hybrid approach is proposed which uses two powerful methods: FBLMS and ANN method.
In order to show the efficiency and accuracy of the proposed approach, seven-year real hourly collected wind speed data sets belonging to Turkish State Meteorological Service of Bozcaada and Eskisehir regions are used.
Two different ANN structures are used to compare with this approach.
The first six-year data is handled as a train set; the remaining one-year hourly data is handled as test data.
Mean absolute error (MAE) and root mean square error (RMSE) are used for performance evaluations.
It is shown for various cases that the performance of the new hybrid approach gives better results than the different conventional ANN structure.
American Psychological Association (APA)
Filik, Ummuhan Basaran. 2016. A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112702
Modern Language Association (MLA)
Filik, Ummuhan Basaran. A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112702
American Medical Association (AMA)
Filik, Ummuhan Basaran. A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112702