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Digitalization for Resilient and Sustainable Energy Transitions

Author

Listed:
  • Behnam Zakeri

    (Institute for Data, Energy, and Sustainability (IDEaS), Vienna University of Economics and Business (WU), 1020 Vienna, Austria
    Energy, Climate, and Environment (ECE) Program, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria)

Abstract

The energy sector was challenged by the COVID-19 pandemic in different ways [...]

Suggested Citation

  • Behnam Zakeri, 2024. "Digitalization for Resilient and Sustainable Energy Transitions," Energies, MDPI, vol. 17(21), pages 1-4, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5434-:d:1510823
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    References listed on IDEAS

    as
    1. Seyed Mehrzad Asaad Sajadi & Pouya Khodaee & Ehsan Hajizadeh & Sabri Farhadi & Sohaib Dastgoshade & Bo Du, 2022. "Deep Learning-Based Methods for Forecasting Brent Crude Oil Return Considering COVID-19 Pandemic Effect," Energies, MDPI, vol. 15(21), pages 1-23, October.
    2. Jun U. Shepard & Bas J. van Ruijven & Behnam Zakeri, 2022. "Impacts of Trade Friction and Climate Policy on Global Energy Trade Network," Energies, MDPI, vol. 15(17), pages 1-21, August.
    3. Tomasz Janoszek & Zbigniew Lubosik & Lucjan Świerczek & Andrzej Walentek & Jerzy Jaroszewicz, 2021. "Experimental and CFD Simulations of the Aerosol Flow in the Air Ventilating the Underground Excavation in Terms of SARS-CoV-2 Transmission," Energies, MDPI, vol. 14(16), pages 1-23, August.
    4. Yukta Mehta & Rui Xu & Benjamin Lim & Jane Wu & Jerry Gao, 2023. "A Review for Green Energy Machine Learning and AI Services," Energies, MDPI, vol. 16(15), pages 1-30, July.
    Full references (including those not matched with items on IDEAS)

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