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      MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum

      Scientific Responsible

      Spyros LalisSpyros Lalis, Professor
      E-mail: lalis@e-ce.uth.gr

      TitleMLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
      Duration2023 – 2025
      Sitehttps://csl.e-ce.uth.gr/projects/mlsysops

      Read More

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      • Sekeri – Cheiden Str
        Pedion Areos, ECE Building
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      Tel.+30 24210 74967, +30 24210 74934
      e-mailgece ΑΤ e-ce.uth.gr
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ECE6140 Artificial Intelligence for Energy Systems

Home » Studies » Postgraduate » MSc Studies in “Smart Grid Energy Systems” » Postgraduate Courses of PGS in “Smart Grid Energy Systems” » ECE6140 Artificial Intelligence for Energy Systems
    Program of Graduate StudiesSmart Grid Energy Systems
    SemesterSemester 1 – Fall
    TypeElective
    ECTS7,5
    Weekly Teaching Hours3
    Course Sitehttps://eclass.uth.gr/courses/E-CE_P_107/
    Course Instructor

    Aspassia DaskalopuluAspassia Daskalopulu, Associate Professor
    E-mail: aspassia@e-ce.uth.gr

    • Description

    Artificial intelligence methods, development and implementation. Artificial neural networks, learning. Fuzzy logic and fuzzy systems. Expert systems design and implementation. Application of AI methods on energy systems for load prediction, load flow study, fault diagnosis, economic dispatch, frequency and voltage control.

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    • +30 24210 74967
    • +30 24210 74934
    • Email: gece@e-ce.uth.gr

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