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Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2021.119869
Abstract: Abstract In this paper, an effective rolling decomposition-ensemble model is proposed for quarterly gasoline consumption forecasting in China. In this model, three steps, data decomposition, component prediction and ensemble output, are involved. In the data…
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Keywords:
decomposition ensemble;
decomposition;
rolling decomposition;
model ... See more keywords
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Published in 2020 at "Waste management"
DOI: 10.1016/j.wasman.2020.11.006
Abstract: Waste electrical and electronic equipment (viz., WEEE or e-waste) is the fastest-growing type of hazardous solid waste in the worldwide. The accurate prediction of the amount of e-waste might help improve the efficiency of e-waste…
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Keywords:
decomposition ensemble;
methodology;
waste;
waste quantity ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10165700
Abstract: Accurate and reliable prediction of dam deformation (DD) is of great significance to the safe and stable operation of dams. In order to deal with the fluctuation characteristics in DD for more accurate prediction results,…
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Keywords:
decomposition ensemble;
model;
dam deformation;
prediction ... See more keywords
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Published in 2021 at "Energies"
DOI: 10.3390/en14154604
Abstract: In order to predict the gasoline consumption in China, this paper propose a novel data-trait-driven rolling decomposition-ensemble model. This model consists of five steps: the data trait test, data decomposition, component trait analysis, component prediction…
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Keywords:
decomposition ensemble;
decomposition;
data trait;
model ... See more keywords