A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms-Reference-Cited by-同舟云学术

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A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms

Published:2022-01 Issue: Volume:306 Page:118011
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhang Kefei,Cao Hua,Thé Jesse,Yu Hesheng

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference68 articles.

1. International Energy Agency. Total energy supply (TES) by source, World; 1990–2018. https://www.iea.org/data-and-statistics2020.

2. The Next Energy Battle: Cheap Natural Gas versus Renewables;Leslie;Engineering,2021

3. Impact of coal sector’s de-capacity policy on coal price;Wang;Appl Energy,2020

4. How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China;Guo;Energy Econ,2016

5. Multi-fractal fluctuation features of thermal power coal price in China;Zhao;Energy,2016

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