| Presentation | 2013-07-20 Wind Speed Prediction System Using Complex-valued Neural Network and Frequency Component of Wind Speed Takahiro KITAJIMA, Takashi YASUNO, Naoya IKEDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, large-scale wind turbines have been introduced. However the generation power fluctuates widely depending on wind speed changing, and it affects frequency of supplied power of power system. In this paper, we propose a wind speed prediction system using complex-valued neural network and frequency component of observed wind speed data as a input information. Usefulness of the proposed system is demonstrated by several computer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Complex-valued neural network / Wind speed prediction / Frequency component |
| Paper # | NC2013-21 |
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| Committee | NC |
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| Conference Date | 2013/7/12(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Wind Speed Prediction System Using Complex-valued Neural Network and Frequency Component of Wind Speed |
| Sub Title (in English) | |
| Keyword(1) | Complex-valued neural network |
| Keyword(2) | Wind speed prediction |
| Keyword(3) | Frequency component |
| 1st Author's Name | Takahiro KITAJIMA |
| 1st Author's Affiliation | Department of Electrical and Electronic Eng., Faculty of Eng., The University of Tokushima() |
| 2nd Author's Name | Takashi YASUNO |
| 2nd Author's Affiliation | Department of Electrical and Electronic Eng., Faculty of Eng., The University of Tokushima |
| 3rd Author's Name | Naoya IKEDA |
| 3rd Author's Affiliation | Department of Electrical and Electronic Eng., Faculty of Eng., The University of Tokushima |
| Date | 2013-07-20 |
| Paper # | NC2013-21 |
| Volume (vol) | vol.113 |
| Number (no) | 148 |
| Page | pp.pp.- |
| #Pages | 6 |
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