Wind power forecasting using the k-nearest neighbors algorithm

E. Mangalova and E. Agafonov

International Journal of Forecasting, 2014, vol. 30, issue 2, 402-406

Abstract: The paper deals with a modeling procedure which aims to predict the power output of wind farm electricity generators. The following modeling steps are proposed: factor selection, raw data pretreatment, model evaluation and optimization. Both heuristic and formal methods are combined to construct the model. The basic modeling approach here is the k-nearest neighbors method.

Keywords: Cross-validation; Data mining; Energy forecasting*; Forecasting competitions*; Feature selection; Nonparametric models; Regression tree (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:30:y:2014:i:2:p:402-406

DOI: 10.1016/j.ijforecast.2013.07.008

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