Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm

Energy pricing during the COVID-19 pandemic: Predictive information-based uncertainty indexes with machine learning algorithm

The study investigates the impact of uncertainties on energy pricing during the COVID-19 pandemic using five uncertainty measures that include the COVID-Induced Uncertainty (CIU), Economic Policy Uncertainty (EPU), Global Fear Index (GFI); Volatility Index (VIX), and the Misinformation Index of Unce...

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Bibliographic Details
Main Authors: Olusanya E. Olubusoye, Olalekan J. Akintande, OlaOluwa S. Yaya, Ahamuefula E. Ogbonna, Adeola F. Adenikinju
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Intelligent Systems with Applications
Subjects:
Coronavirus pandemic
Energy market
Machine learning
Uncertainty
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305321000399

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