Open Access

EDITORIAL

Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field

Wei-Chiang Hong^1,*, Yi Liang²

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 the 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

Abstract

This article has no abstract.

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