Wind power forecasting using the k-nearest neighbors algorithm

Описание

Тип публикации: статья из журнала

Год издания: 2014

Идентификатор DOI: 10.1016/j.ijforecast.2013.07.008

Ключевые слова: Cross-validation, Data mining, Energy forecasting, Forecasting competitions, Feature selection, Nonparametric models, Regression tree

Аннотация: 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 approaПоказать полностьюch here is the k-nearest neighbors method. (C) 2013 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.

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Издание

Журнал: INTERNATIONAL JOURNAL OF FORECASTING

Выпуск журнала: Vol. 30, Is. 2

Номера страниц: 402-406

ISSN журнала: 01692070

Место издания: AMSTERDAM

Издатель: ELSEVIER SCIENCE BV

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