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Long-term forecast of energy commodities price using machine learning · Study

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ArticleLong-term forecast of energy commodities price using machine learning

Gabriel Paes Herrera2019

OA

Articlegreen2019

Long-term forecast of energy commodities price using machine learning

Gabriel Paes Herrera · Michel Constantino · Benjamin Miranda Tabak · Hemerson Pistori · Jen‐Je Su · Athula Naranpanawa

151 citations·0/0 files stored·Energy

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Forecasting Techniques and Applications Market Dynamics and Volatility Stock Market Forecasting Methods

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 151 citations exist upstream.

References

1994Comparing Predictive Accuracy 1995Comparing Predictive Accuracy 2003Time series forecasting using a hybrid ARIMA and neural network model n.d.Forecasting principles and practice 1997Testing the equality of prediction mean squared errors 2013Machine Learning Strategies for Time Series Forecasting 2013Forecasting the Price of Oil 2017A deep learning ensemble approach for crude oil price forecasting

Cited by

2024Forecasts of thermal coal prices through Gaussian process regressions 2020A novel hybrid model for forecasting crude oil price based on time series decomposition 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model 2020A new hybrid model for forecasting Brent crude oil price 2024Machine learning Brent crude oil price forecasts 2021Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network 2021A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms 2025Machine learning wholesale white wheat price index forecasts

Details

Year2019

Typearticle

Published2019-04-28

VenueEnergy

ISSN-L0360-5442

Languageen

Citations151

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.energy.2019.04.077

openalex_workW2942063634

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