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Wind power forecasting using the k-nearest neighbors algorithm
Affiliation:1. Siberian State Aerospace University, Russia;2. Siberian Federal University, Russia;1. Machine Learning Group, Department of Computer Science, Faculty of Sciences, Université Libre de Bruxelles, Belgium;2. Department of Econometrics and Business Statistics, Monash University, Clayton, VIC 3800, Australia;1. Electricité de France Research & Development Division, 1 av du Général de Gaulle, 92141 Clamart Cedex, France;2. INRIA, Research Team SELECT, Université Paris Sud, Bât. 425, 91405 Orsay Cedex, France;1. Beijing Meteorological Information Center, 44 Zizhu Road, Haidian District, Beijing 100089, PR China;2. Institute of Crustal Dynamics, China Earthquake Administration, 1 Anningzhuang Road, Haidian District, Beijing 100085, PR China;3. Tencent Beijing, 66 Zhongguncun East Road, Beijing 100080, PR China
Abstract:
Keywords:Cross-validation  Data mining  Energy forecasting*  Forecasting competitions*  Feature selection  Nonparametric models  Regression tree
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