Multistep-ahead forecasting of coal prices using a hybrid deep learning model-Reference-Cited by-同舟云学术

Multistep-ahead forecasting of coal prices using a hybrid deep learning model

Published:2020-03 Issue: Volume:65 Page:101588
ISSN:0301-4207
Container-title:Resources Policy
language:en
Short-container-title:Resources Policy

Author:

Alameer Zakaria,Fathalla Ahmed,Li Kenli,Ye Haiwang,Jianhua Zhang

Funder

Chinese Guizhou Science and Technology Planning Project

Chinese Hubei Natural Science Foundation

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference77 articles.

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3. Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm;Alameer;Resour. Policy,2019

4. Using computational intelligence to forecast carbon prices;Atsalakis;Appl. Soft Comput.,2016

5. Testing for market integration crude oil, coal, and natural gas;Bachmeier;Energy J.,2006

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