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Modeling Electricity Markets and Energy Systems: Challenges and Opportunities

Author

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  • Danial Esmaeili Aliabadi

    (Helmholtz Centre for Environmental Research—UFZ, Permoserstraße 15, 04318 Leipzig, Germany)

  • Tiago Pinto

    (Department of Engineering, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
    Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal)

Abstract

From the dawn of the Industrial Revolution, energy was predominantly produced by conventional technologies, relying on a heat source (mostly from the combustion of fossil fuels) and the turning of steam turbines [...]

Suggested Citation

  • Danial Esmaeili Aliabadi & Tiago Pinto, 2025. "Modeling Electricity Markets and Energy Systems: Challenges and Opportunities," Energies, MDPI, vol. 18(2), pages 1-4, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:245-:d:1562342
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    References listed on IDEAS

    as
    1. Martin, Nigel & Rice, John, 2021. "Power outages, climate events and renewable energy: Reviewing energy storage policy and regulatory options for Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    2. Hugo Algarvio & António Couto & Fernando Lopes & Ana Estanqueiro, 2024. "Strategic Behavior of Competitive Local Citizen Energy Communities in Liberalized Electricity Markets," Energies, MDPI, vol. 17(8), pages 1-23, April.
    3. Arthur Lauro & Daniel Kitamura & Waleska Lima & Bruno Dias & Tiago Soares, 2023. "Considering Forward Electricity Prices for a Hydro Power Plant Risk Analysis in the Brazilian Electricity Market," Energies, MDPI, vol. 16(3), pages 1-13, January.
    4. Danial Esmaeili Aliabadi & David Manske & Lena Seeger & Reinhold Lehneis & Daniela Thrän, 2023. "Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study," Energies, MDPI, vol. 16(13), pages 1-14, July.
    5. Esmaeili Aliabadi, Danial & Chan, Katrina, 2022. "The emerging threat of artificial intelligence on competition in liberalized electricity markets: A deep Q-network approach," Applied Energy, Elsevier, vol. 325(C).
    6. Reinhold Lehneis & Daniela Thrän, 2023. "Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany," Energies, MDPI, vol. 16(7), pages 1-16, April.
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