書誌事項
- タイトル別名
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- A Wavelet-Based RBFN-Type-ELM Method for Wind Power Generation Output Forecasting
抄録
<p>This paper proposes an efficient method for wind power generation output forecasting. The proposed method is based on Radial Basis Function Network (RBFN) of Artificial Neural Network (ANN). In this paper, a couple of strategies are proposed to improve the performance of RBFN. One is the use of the Wavelet Transform as the preconditioning technique while the other is to apply the idea of ELM (Extreme Learning Machine) to RBFN. The effectiveness of the proposed method is demonstrated for real data of wind power generation output.</p>
収録刊行物
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- 電気学会論文誌Ｂ（電力・エネルギー部門誌）
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電気学会論文誌Ｂ（電力・エネルギー部門誌） 143 (8), 474-482, 2023-08-01
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390015487572137856
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- ISSN
- 13488147
- 03854213
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可