A Wavelet-Based RBFN-Type-ELM Method for Wind Power Generation Output Forecasting
-
- Watanabe Kohtaro
- Dept. of Network Design, Meiji University
-
- Mori Hiroyuki
- Dept. of Network Design, Meiji University
Bibliographic Information
- Other Title
-
- ウェーブレット変換を用いたRBFN型ELMネットワークによる風力発電出力予測
Abstract
<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>
Journal
-
- IEEJ Transactions on Power and Energy
-
IEEJ Transactions on Power and Energy 143 (8), 474-482, 2023-08-01
The Institute of Electrical Engineers of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390015487572137856
-
- ISSN
- 13488147
- 03854213
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- Crossref
-
- Abstract License Flag
- Disallowed