A comparative analysis of intelligent techniques to predict energy generated by a small wind turbine from atmospheric variables-Reference-Cited by-同舟云学术

A comparative analysis of intelligent techniques to predict energy generated by a small wind turbine from atmospheric variables

Published:2022-02-24 Issue: Volume: Page:
ISSN:1367-0751
Container-title:Logic Journal of the IGPL
language:en
Short-container-title:

Author:

Porras Santiago¹,Jove Esteban²,Baruque Bruno³,Calvo-Rolle José Luis²

Affiliation:

1. Departamento de Economía Aplicada, University of Burgos, Plaza Infanta Doña Elena, s/n, 09001, Burgos, Spain

2. Department of Industrial Engineering, University of A Coruña, Avda. 19 de febrero s/n, 15405, Ferrol, A Coruña, Spain. CITIC Research, Elviña Campus, University of A Coruña, s/n, 15008, A Coruña, Spain

3. Departmento de Ingeniería Informática, University of Burgos, Avd. de Cantabria, s/n, 09006, Burgos, Spain

Abstract

Abstract The harmful consequences of fossil fuels use has resulted in the promotion of clean and renewable energies. During the past decades, green technologies have experienced a strong development, paying especial attention to wind energy, that covers a significant share of the electric energy demand. In this context, the main efforts are focused on the optimization of wind generator facilities, not only in the mechanic design but also in the energy management. Then, the present work deals with the prediction of the energy generated in a small wind turbine placed in a bioclimatic house located on the north west region of Spain. This includes an analysis of the characteristics of the atmospheric variables registered during the turbine operation for a period of one year and an exploratory examination of a range of regression techniques in order to assess the suitability of using the registered information to predict the installation’s power generation levels on the short term. The study detailed in this work proves that this objective is an attainable one with a good degree of accuracy.

Publisher

Oxford University Press (OUP)

Subject

Logic

Link

https://academic.oup.com/jigpal/advance-article-pdf/doi/10.1093/jigpal/jzac031/42600122/jzac031.pdf

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