Coal price forecasting using complete ensemble empirical mode decomposition and stacking‐based ensemble learning with semisupervised data processing

Coal price forecasting using complete ensemble empirical mode decomposition and stacking‐based ensemble learning with semisupervised data processing

Abstract Globally, coal is a critical energy source, and the profits of related enterprises are highly related to changes in the coal price. A robust coal purchasing cost forecasting method may enhance the coal purchasing strategies of coal‐consuming enterprises and obtain key information for reduci...

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Bibliographic Details
Main Authors:	Jing Tang, Yida Guo, Yilin Han
Format:	Article
Language:	English
Published:	Wiley 2024-04-01
Series:	Energy Science & Engineering
Subjects:	coal price forecasting decomposition ensemble learning semisupervised learning
Online Access:	https://doi.org/10.1002/ese3.1660

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