A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods

Wind energy is a variable energy source with a growing presence in many electrical networks across the world. Wind-speed prediction has become an important tool for many agents involved in energy markets. In this paper, an approach to this problem is proposed by means of a novel method that outperfo...

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Main Authors:	Neeraj Bokde, Andrés Feijóo, Daniel Villanueva, Kishore Kulat
Format:	Article
Language:	English
Published:	MDPI AG 2018-10-01
Series:	Energies
Subjects:	wind speed wind power prediction indirect prediction approach power curve
Online Access:	https://www.mdpi.com/1996-1073/11/11/2923

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spelling	doaj-bd3a52797ac44705b0c81707a5de32662020-11-24T21:09:59ZengMDPI AGEnergies1996-10732018-10-011111292310.3390/en11112923en11112923A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction MethodsNeeraj Bokde0Andrés Feijóo1Daniel Villanueva2Kishore Kulat3Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, IndiaDepartamento de Enxeñería Eléctrica-Universidade de Vigo, Campus de Lagoas-Marcosende, 36310 Vigo, SpainDepartamento de Enxeñería Eléctrica-Universidade de Vigo, Campus de Lagoas-Marcosende, 36310 Vigo, SpainDepartment of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, IndiaWind energy is a variable energy source with a growing presence in many electrical networks across the world. Wind-speed prediction has become an important tool for many agents involved in energy markets. In this paper, an approach to this problem is proposed by means of a novel method that outperforms results obtained by current direct and indirect wind-power prediction procedures. The first difference is that it is not strictly a direct or indirect method in the conventional sense because it uses information from both wind-speed and wind-power data series to obtain a wind-power series. The second difference is that it smooths down the wind-power series obtained in the first stage, and uses the resulting series for predicting new wind-power values. The process of smoothing is based on the label sequence generation process discussed in the pattern sequence forecasting algorithm and the Naive Bayesian method-based matching process. The result is a less chaotic way to predict wind speed than those offered by other existing methods. It has been assessed in multiple simulations, for which three different error measures have been used.https://www.mdpi.com/1996-1073/11/11/2923wind speedwind powerpredictionindirect prediction approachpower curve
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Neeraj Bokde Andrés Feijóo Daniel Villanueva Kishore Kulat
spellingShingle	Neeraj Bokde Andrés Feijóo Daniel Villanueva Kishore Kulat A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods Energies wind speed wind power prediction indirect prediction approach power curve
author_facet	Neeraj Bokde Andrés Feijóo Daniel Villanueva Kishore Kulat
author_sort	Neeraj Bokde
title	A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods
title_short	A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods
title_full	A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods
title_fullStr	A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods
title_full_unstemmed	A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods
title_sort	novel and alternative approach for direct and indirect wind-power prediction methods
publisher	MDPI AG
series	Energies
issn	1996-1073
publishDate	2018-10-01
description	Wind energy is a variable energy source with a growing presence in many electrical networks across the world. Wind-speed prediction has become an important tool for many agents involved in energy markets. In this paper, an approach to this problem is proposed by means of a novel method that outperforms results obtained by current direct and indirect wind-power prediction procedures. The first difference is that it is not strictly a direct or indirect method in the conventional sense because it uses information from both wind-speed and wind-power data series to obtain a wind-power series. The second difference is that it smooths down the wind-power series obtained in the first stage, and uses the resulting series for predicting new wind-power values. The process of smoothing is based on the label sequence generation process discussed in the pattern sequence forecasting algorithm and the Naive Bayesian method-based matching process. The result is a less chaotic way to predict wind speed than those offered by other existing methods. It has been assessed in multiple simulations, for which three different error measures have been used.
topic	wind speed wind power prediction indirect prediction approach power curve
url	https://www.mdpi.com/1996-1073/11/11/2923
work_keys_str_mv	AT neerajbokde anovelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT andresfeijoo anovelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT danielvillanueva anovelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT kishorekulat anovelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT neerajbokde novelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT andresfeijoo novelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT danielvillanueva novelandalternativeapproachfordirectandindirectwindpowerpredictionmethods AT kishorekulat novelandalternativeapproachfordirectandindirectwindpowerpredictionmethods
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A Novel and Alternative Approach for Direct and Indirect Wind-Power Prediction Methods

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