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An effective rolling decomposition-ensemble model for gasoline consumption forecasting · Study

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ArticleAn effective rolling decomposition-ensemble model for gasoline consumption forecasting

Lean Yu2021

Article2021

An effective rolling decomposition-ensemble model for gasoline consumption forecasting

Lean Yu · Yueming Ma

70 citations·0/0 files stored·Energy

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Forecasting Techniques and Applications Energy Load and Power Forecasting Grey System Theory Applications

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References

2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm 2013On exploratory factor analysis: A review of recent evidence, an assessment of current practice, and recommendations for future use 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting 2018Oil price forecasting using a hybrid model 2018A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms 2016Air transportation demand forecast through Bagging Holt Winters methods 2019A CEEMDAN and XGBOOST‐Based Approach to Forecast Crude Oil Prices 2014A compressed sensing based AI learning paradigm for crude oil price forecasting

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2022An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning 2021A memory-trait-driven decomposition–reconstruction–ensemble learning paradigm for oil price forecasting 2022Petroleum products consumption forecasting based on a new structural auto-adaptive intelligent grey prediction model 2023Monthly ship price forecasting based on multivariate variational mode decomposition

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Year2021

Typearticle

Published2021-01-25

VenueEnergy

ISSN-L0360-5442

Languageen

Citations70

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.energy.2021.119869

openalex_workW3123760370

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