Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A Novel Hybrid Approach Based on Wavelet Transform and Fuzzy ARTMAP Networks for Predicting Wind Farm Power Production. |
| Συγγραφείς: |
Haque, Ashraf Ul1, Mandal, Paras2, Meng, Julian3, Srivastava, Anurag K.4, Tseng, Tzu-Liang2, Senjyu, Tomonobu5 |
| Πηγή: |
IEEE Transactions on Industry Applications. Sep2013, Vol. 49 Issue 5, p2253-2261. 9p. |
| Θεματικοί όροι: |
*Wind power plants, *Power resources forecasting, *Algorithms, Wavelet transforms, Fuzzy control systems, Soft computing, Scientific communication |
| Περίληψη: |
This paper presents a novel hybrid intelligent algorithm based on the wavelet transform (WT) and fuzzy ARTMAP (FA) network for forecasting the power output of a wind farm utilizing meteorological information such as wind speed, wind direction, and temperature. The prediction capability of the proposed hybrid WT +FA model is demonstrated by an extensive comparison with a benchmark persistence method, other soft computing models, and hybrid models as well. The test results show a significant improvement in forecasting error through the application of a proposed hybrid WT +FA model. The proposed hybrid wind power forecasting strategy is applied to real-life data from Kent Hill wind farm located in New Brunswick, Canada. [ABSTRACT FROM AUTHOR] |
|
Copyright of IEEE Transactions on Industry Applications is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Business Source Index |