Energy production trend extraction using ensemble empirical mode decomposition

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Breaker, L. C. (2013). Energy production trend extraction using ensemble empirical mode decomposition. International Journal of Energy and Statistics, 1(3), 195-204. doi:10.1142/S2335680413500130
Metadata
TitleEnergy production trend extraction using ensemble empirical mode decomposition
AuthorsL. Breaker
AbstractThe purpose of this study is to illustrate, by example, a method called Ensemble Empirical Mode Decomposition (EEMD). Specifically, the method was used to extract the long-term trend from a time series of energy production data from the United Kingdom for the period from January 1978 through July 2011. This record is dominated by two components: an annual cycle and a long-term trend. Using EEMD, it was not difficult to extract the long-term trend. However, three components or modes from the EEMD were required to capture the underlying pattern that was the basis for the trend. This trend was also evaluated in terms of a definition for the trend given in [6]. It was found that our trend did not conform to the definition given in [6], leading to the conclusion that it is indeed a difficult problem, or perhaps impossible, to arrive at a precise definition of the trend that will be universally applicable.
JournalInternational Journal of Energy and Statistics
Date2013
Volume1
Issue3
Start page195
End page204
ISSN2335-6804

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