A Shift of Global Energy from Oil and Gas to Hydrogen Influenced by COVID-19: A Machine Learning Approach
Received Date: Jul 03, 2023 / Published Date: Jul 31, 2023
Abstract
The COVID-19 pandemic has played a vital role in the global energy market. The fossil fuel demand faced a great shock and all the relevant projects get severely challenged due to the pandemic and its aftermath. The paper has discussed the impact of the COVID-19 pandemic on global energy transition activities and how it has accelerated the growth of hydrogen energy, and it also contains a machine-learning approach to analyze the post-pandemic sentiment of people about hydrogen energy as an alternative as well as a clean energy source. While COVID-19 has resulted in severe global health and economic crises, it also presents an opportunity for a green, sustainable, and resilient recovery enabled by sustainable energy like hydrogen from a commercial and psychological perspective. The hydrogen economy has been getting more attention and developed countries have been taking all the possible measures to accelerate the shift towards hydrogen energy by making policies and envisaging bigger budgets for hydrogen projects. People all around the globe also have an intriguing attitude toward a hydrogen-fueled greener world.
Citation: Moinuddin H (2023) A Shift of Global Energy from Oil and Gas to Hydrogen Influenced by COVID-19: A Machine Learning Approach. Innov Ener Res, 12: 342. Doi: 10.4172/2155-952X.1000342
Copyright: © 2023 Moinuddin H. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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