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Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field
1 Department of Information Management, Asia Eastern University of Science and Technology, New Taipei, 22061, Taiwan
2 School of Management, Hebei GEO University, Shijiazhuang, 050031, China
* Corresponding Author: Wei-Chiang Hong. Email:
(This article belongs to this Special Issue: Hybrid Intelligent Methods for Forecasting in Resources and Energy Field)
Computer Modeling in Engineering & Sciences 2023, 134(2), 763-766. https://doi.org/10.32604/cmes.2022.023022
Received 06 April 2022; Accepted 08 April 2022; Issue published 31 August 2022
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Hong, W., Liang, Y. (2023). Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field. CMES-Computer Modeling in Engineering & Sciences, 134(2), 763–766.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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