• Geography
  • Published 2012

Short-Term Wind Power Prediction Using Fuzzy Clustering and Support Vector Regression

@inproceedings{InYong2012ShortTermWP,
  title={Short-Term Wind Power Prediction Using Fuzzy Clustering and Support Vector Regression},
  author={In-Yong and Seo and Bok-Nam and Ha. and Sung-woo and Lee and Moon-Jong and Jang and Sang-ok and Kim and Seong-Jun},
  year={2012}
}
A sustainable production of electricity is essential for low carbon green growth in South Korea. The generation of wind power as renewable energy has been rapidly growing around the world. Undoubtedly, wind energy is unlimited in potential. However, due to its own intermittency and volatility, there are difficulties in the effective harvesting of wind energy and the integration of wind power into the current electric power grid. To cope with this, many works have been done for wind speed and… CONTINUE READING

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