Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

Lahmiri, Salim

doi:10.1109/JSYST.2015.2487339

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Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

Author(s): Salim Lahmiri

Publication date (Print): September 2017

Journal: IEEE Systems Journal

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Most cited references 25

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Variational Mode Decomposition

Konstantin Dragomiretskiy, Dominique Zosso (2014)

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Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

Jianzhou Wang, Zhenhai Guo, Weigang Zhao … (2012)

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Day-Ahead Price Forecasting of Electricity Markets by Mutual Information Technique and Cascaded Neuro-Evolutionary Algorithm

N. Amjady, F KEYNIA (2009)

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Journal

Title: IEEE Systems Journal

Abbreviated Title: IEEE Systems Journal

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1932-8184

ISSN (Electronic): 1937-9234

ISSN (Electronic): 2373-7816

Publication date Created: September 2017

Publication date (Print): September 2017

Volume: 11

Issue: 3

Pages: 1907-1910

Article

DOI: 10.1109/JSYST.2015.2487339

SO-VID: a0f69246-f9fb-4113-a6d3-62b73affec8e

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Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

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African Journal of Empirical Research

Most cited references 25

Variational Mode Decomposition

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

Day-Ahead Price Forecasting of Electricity Markets by Mutual Information Technique and Cascaded Neuro-Evolutionary Algorithm

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