ISSN: 2576-1463

革新的なエネルギーと研究

オープンアクセス

当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い

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700 ジャーナル 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得

抽象的な

A Shift of Global Energy from Oil and Gas to Hydrogen Influenced by COVID-19: A Machine Learning Approach

Ahmed Nazmus Sakib, Mizanul Hoque, Khondhaker Al Momin

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.