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Predicting monthly biofuel production using a hybrid ensemble forecasting methodology · Study

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ArticlePredicting monthly biofuel production using a hybrid ensemble forecasting methodology

Lean Yu2019

Article2019

Predicting monthly biofuel production using a hybrid ensemble forecasting methodology

Lean Yu · Rongda Chen · Kin Keung Lai

100 citations·0/0 files stored·International Journal of Forecasting

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Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

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References

1994Time series prediction: Forecasting the future and understanding the past 2007A new approach for crude oil price analysis based on Empirical Mode Decomposition 2018Green loan and subsidy for promoting clean production innovation 2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting 2016Financial time series prediction using a dendritic neuron model 2012The impacts of biofuels targets on land‐use change and food supply: A global CGE assessment 2006A new boosting algorithm for improved time-series forecasting with recurrent neural networks 2014A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting

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Details

Year2019

Typearticle

Published2019-12-26

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations100

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ijforecast.2019.08.014

openalex_workW2998086450

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