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Иш: Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: A case study

  1. State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

    Amir Mosavi, Mohsen Salimi, Sina Ardabili +3

    Шарҳ мақола20195 иқтибос
    ABI
  2. Thermal analysis of ME—TVC+MEE desalination systems

    F.N. Alasfour, M.A. Darwish, A.O. Bin Amer

    Мақола20055 иқтибос
    ABI
  3. Machine Learning and Deep Learning in Energy Systems: A Review

    Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi +1

    Шарҳ мақола20225 иқтибос
    ABI
  4. A 1-D analysis of ejector performance

    Bin‐Juine Huang, Jan-Shun Chang, Cheng Wang +1

    Мақола19994 иқтибос
    ABI
  5. Exergy and thermo-economic analysis for MED-TVC desalination systems

    Mohamed L. Elsayed, Osama Mesalhy, Ramy H. Mohammed +1

    Мақола20184 иқтибос
    ABI
  6. Ejector refrigeration: A comprehensive review

    Giorgio Besagni, Riccardo Mereu, Fabio Inzoli

    Шарҳ мақола20153 иқтибос
    ABI
  7. Reducing energy demand: A review of issues, challenges and approaches

    Steve Sorrell

    Шарҳ мақола20153 иқтибос
    ABI