Application of non-linear modeling methods to wind power estimation

Yohei Watanabe, Shinji Wakao, Tsutomu Takinami, Kohei Oishi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publicationEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007
Pages898-903
Number of pages6
Publication statusPublished - 2007 Dec 1
EventEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007 - Milan, Italy
Duration: 2007 May 7 → 2007 May 10

Publication series

NameEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007
Volume2

Conference

ConferenceEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007
CountryItaly
CityMilan
Period07/5/7 → 07/5/10

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

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