Henry Hub monthly natural gas price forecasting using CEEMDAN–Bagging–HHO–SVR

Y Duan, J Zhang, X Wang - Frontiers in Energy Research, 2023 - frontiersin.org
As a clean fossil energy source, natural gas plays a crucial role in the global energy
transition. Forecasting natural gas prices is an important area of research. This paper aims …

Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network

J Li, Q Wu, Y Tian, L Fan - Energy, 2021 - Elsevier
The global trade scale of natural gas is expanding, and its price forecasting has become one
of the most critical issues in the planning and operation of public utilities. In this paper, a …

A secondary decomposition-ensemble methodology for forecasting natural gas prices using multisource data

G Xie, F Jiang, C Zhang - Resources Policy, 2023 - Elsevier
In order to improve the accuracy of natural gas price forecasting, this study proposes a
secondary decomposition-ensemble methodology using multiple helpful predictors, namely …

Predicting natural gas prices based on a novel hybrid model with variational mode decomposition

Q Lu, J Liao, K Chen, Y Liang, Y Lin - Computational Economics, 2024 - Springer
Natural gas firmly plays the crucial role in the transition through low-carbon energy systems
and country's energy security. Accurately and reliably forecasting gas price can be …

Multi-step Natural Gas Price Forecasting using Ensemble Empirical Mode Decomposition and Long Short-Term Memory Hybrid Model

HK Gandhi, I Márton - … Journal of Energy Economics and Policy, 2024 - econjournals.com.tr
With the characteristic of natural gas as a clean, non-toxic, and valuable energy source, its
use has been increasing in recent years. Thus, maintaining stable natural gas security …

Predicting the monthly consumption and production of natural gas in the USA by using a new hybrid forecasting model based on two-layer decomposition

S Jiang, XT Zhao, N Li - Environmental Science and Pollution Research, 2023 - Springer
As an efficient, economical, and clean energy, natural gas plays an important role in the
development of the new energy revolution. Accurate prediction of natural gas consumption …

Data driven natural gas spot price prediction models using machine learning methods

M Su, Z Zhang, Y Zhu, D Zha, W Wen - Energies, 2019 - mdpi.com
Natural gas has been proposed as a solution to increase the security of energy supply and
reduce environmental pollution around the world. Being able to forecast natural gas price …

Short-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

J Wang, J Cao, S Yuan, M Cheng - Energy, 2021 - Elsevier
With the continuous growth of the global natural gas trade, the accurate prediction of natural
gas prices has become one of the most critical issues in the planning and operation of public …

Breeder hybrid algorithm approach for natural gas demand forecasting model

Y Karadede, G Ozdemir, E Aydemir - Energy, 2017 - Elsevier
A breeder hybrid algorithm consisting of the constitution of nonlinear regression-based
breeder genetic algorithm and simulated annealing is proposed for the objective of …

Natural gas price forecasting by a new hybrid model combining quadratic decomposition technology and LSTM model

L Zhan, Z Tang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Research on the price prediction of natural gas is of great significance to market participants
of all kinds. In order to predict natural gas prices more reliably, this paper introduces a …