Abstract
To reduce the fluctuation of wind power output by installing storage batteries to wind power generation, accurate estimation of wind power is indispensable. Calculation based on Power Curve, general method to estimate wind power output, often causes unavoidable error due to influences of time fluctuation of wind speed and direction. Therefore, we propose to apply Just-In-Time (JIT) Modeling to the estimation and the forecast of wind power output. JIT Modeling has the advantage that the algorithm is relatively simple. Compared with another non-linear modeling method, we confirmed the validation of JIT Modeling against the estimation and forecasts of wind power output through computational simulations.
| Original language | English |
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| Title of host publication | European Wind Energy Conference and Exhibition 2007, EWEC 2007 |
| Pages | 898-903 |
| Number of pages | 6 |
| Publication status | Published - 2007 Dec 1 |
| Event | European Wind Energy Conference and Exhibition 2007, EWEC 2007 - Milan, Italy Duration: 2007 May 7 → 2007 May 10 |
Publication series
| Name | European Wind Energy Conference and Exhibition 2007, EWEC 2007 |
|---|---|
| Volume | 2 |
Conference
| Conference | European Wind Energy Conference and Exhibition 2007, EWEC 2007 |
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| Country | Italy |
| City | Milan |
| Period | 07/5/7 → 07/5/10 |
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Keywords
- Just-in-time modeling
- Neural network
- Short-term wind power forecast
- Stepwise regression
- Wind power estimation
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
Cite this
Watanabe, Y., Wakao, S., Takinami, T., & Oishi, K. (2007). Application of non-linear modeling methods to wind power estimation. In European Wind Energy Conference and Exhibition 2007, EWEC 2007 (pp. 898-903). (European Wind Energy Conference and Exhibition 2007, EWEC 2007; Vol. 2).