Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China-Reference-Cited by-同舟云学术

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Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

Published:2018-12 Issue: Volume:205 Page:909-922
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Li Cunbin,Lin Shuaishuai,Xu Fangqiu,Liu Ding,Liu Jicheng

Funder

National Natural Science Foundation of China

State Grid Corporation of China

Central Universities

China Scholarship Council

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference56 articles.

1. Online analytical processing (OLAP): a fast and effective data mining tool for gene expression databases;Alkharouf;J. Biomed. Biotechnol.,2005

2. Image coding using wavelet transform;Antonini;IEEE Trans. Image Process.,1992

3. Long-term wind speed and power forecasting using local recurrent neural network models;Barbounis;IEEE Trans. Energy Convers.,2006

4. Two-dimensional Gaussian fitting for precise measurement of lattice constant deviation from a selected-area diffraction map;Bekarevich;Microscopy,2018

5. Short-run electricity load forecasting with combinations of stationary wavelet transforms;Bessec;Eur. J. Oper. Res.,2018

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