A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data
Wind speed is a fundamental atmospheric variable which plays an important role in energy production industry. Wind speed affects weather forecasting, aircraft and maritime operations, and other numerous effects. As a rising tenders of wind energy, it is vital for power efficacies to plan the adaptat...
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| Format: | Conference or Workshop Item |
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American Institute of Physics Inc.
2016
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| _version_ | 1796862043608842240 |
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| author | Jamaludin, A. R. Yusof, F. Kane, I. L. Norrulasikin, S. M. |
| author_facet | Jamaludin, A. R. Yusof, F. Kane, I. L. Norrulasikin, S. M. |
| author_sort | Jamaludin, A. R. |
| collection | ePrints |
| description | Wind speed is a fundamental atmospheric variable which plays an important role in energy production industry. Wind speed affects weather forecasting, aircraft and maritime operations, and other numerous effects. As a rising tenders of wind energy, it is vital for power efficacies to plan the adaptation of wind power. Henceforth, an accurate measurement of wind speed prediction is ideal for providing an impression on how the behavior and trend of historical wind pattern and future projected pattern could be. Wind speed forecasting is important for the reliable and efficient operation of the wind power system. The ability of Fourier based-ARMA model was tested to forecast the wind speed data of 3 crucial locations; Senai, Bayan Lepas and Subang. A comparison has been made between conventional method and Fourier analysis method. Fourier-ARMA was found to outperform the conventional ARMA model in predicting the wind speed data for 365 days ahead with just a little error. |
| first_indexed | 2024-03-05T20:05:35Z |
| format | Conference or Workshop Item |
| id | utm.eprints-73220 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:05:35Z |
| publishDate | 2016 |
| publisher | American Institute of Physics Inc. |
| record_format | dspace |
| spelling | utm.eprints-732202017-11-23T05:09:18Z http://eprints.utm.my/73220/ A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data Jamaludin, A. R. Yusof, F. Kane, I. L. Norrulasikin, S. M. QA Mathematics Wind speed is a fundamental atmospheric variable which plays an important role in energy production industry. Wind speed affects weather forecasting, aircraft and maritime operations, and other numerous effects. As a rising tenders of wind energy, it is vital for power efficacies to plan the adaptation of wind power. Henceforth, an accurate measurement of wind speed prediction is ideal for providing an impression on how the behavior and trend of historical wind pattern and future projected pattern could be. Wind speed forecasting is important for the reliable and efficient operation of the wind power system. The ability of Fourier based-ARMA model was tested to forecast the wind speed data of 3 crucial locations; Senai, Bayan Lepas and Subang. A comparison has been made between conventional method and Fourier analysis method. Fourier-ARMA was found to outperform the conventional ARMA model in predicting the wind speed data for 365 days ahead with just a little error. American Institute of Physics Inc. 2016 Conference or Workshop Item PeerReviewed Jamaludin, A. R. and Yusof, F. and Kane, I. L. and Norrulasikin, S. M. (2016) A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data. In: 23rd Malaysian National Symposium of Mathematical Sciences: Advances in Industrial and Applied Mathematics, SKSM 2015, 24 November 2015 through 26 November 2015, Johor Bahru; Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984541390&doi=10.1063%2f1.4954627&partnerID=40&md5=b9d7bb9ab315008071d19b013b584a5e |
| spellingShingle | QA Mathematics Jamaludin, A. R. Yusof, F. Kane, I. L. Norrulasikin, S. M. A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data |
| title | A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data |
| title_full | A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data |
| title_fullStr | A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data |
| title_full_unstemmed | A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data |
| title_short | A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data |
| title_sort | comparative study between conventional arma and fourier arma in modeling and forecasting wind speed data |
| topic | QA Mathematics |
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