Energy Pricing during the COVID-19 Pandemic: Predictive Information-Based Uncertainty Indexes with Machine Learning Algorithm
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Cited by:
- Yagi, Michiyuki & Managi, Shunsuke, 2023. "The spillover effects of rising energy prices following 2022 Russian invasion of Ukraine," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 680-695.
- Cebotari Livia & Paierele Ada, 2024. "Economic Effects of rising Energy Prices," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 295-302.
- Khan, Khalid & Su, Chi-Wei & Khurshid, Adnan & Umar, Muhammad, 2022. "COVID-19 impact on multifractality of energy prices: Asymmetric multifractality analysis," Energy, Elsevier, vol. 256(C).
- Ahmed Mohamed Habib & Umar Nawaz Kayani, 2024. "Price reaction of global economic indicators: evidence from the COVID-19 pandemic and the Russia–Ukraine conflict," SN Business & Economics, Springer, vol. 4(1), pages 1-21, January.
- Zhao, Zilong & Lv, Guoquan & Xu, Yanwen & Lin, Yu-Feng & Wang, Pingfeng & Wang, Xinlei, 2024. "Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables," Renewable Energy, Elsevier, vol. 225(C).
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More about this item
Keywords
Coronavirus pandemic; Energy market; Machine Learning; Uncertainty;All these keywords.
JEL classification:
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2021-10-04 (Big Data)
- NEP-CMP-2021-10-04 (Computational Economics)
- NEP-ENE-2021-10-04 (Energy Economics)
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