Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
Year of publication: |
2014
|
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Authors: | Giorgi, Maria Grazia De ; Campilongo, Stefano ; Ficarella, Antonio ; Congedo, Paolo Maria |
Published in: |
Energies. - MDPI, Open Access Journal, ISSN 1996-1073. - Vol. 7.2014, 8, p. 5251-5272
|
Publisher: |
MDPI, Open Access Journal |
Subject: | wind power forecasting | Least-Squares Support Vector Machine (LS-SVM) | Artificial Neural Network (ANN) | wavelet decomposition |
Extent: | application/pdf text/html |
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Type of publication: | Article |
Classification: | Q - Agricultural and Natural Resource Economics ; Q0 - Agricultural and Natural Resource Economics. General ; Q4 - Energy ; Q40 - Energy. General ; Q41 - Demand and Supply ; Q42 - Alternative Energy Sources ; Q43 - Energy and the Macroeconomy ; q47 ; Q48 - Government Policy ; Q49 - Energy. Other |
Source: |
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Quantile Forecasting of Wind Power Using Variability Indices
Anastasiades, Georgios, (2013)
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Zhang, Qian, (2012)
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Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method
Chang, Wen-Yeau, (2013)
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Congedo, Paolo Maria, (2014)
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Giorgi, Maria Grazia De, (2011)
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Giorgi, Maria Grazia De, (2014)
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