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      MORCIC: Model Order Reduction of Electromagnetic Models for Large Integrated Circuits

      Scientific Responsible

      Nestor EvmorfopoulosNestor Evmorfopoulos, Associate Professor
      E-mail: nestevmo@e-ce.uth.gr

      Title MORCIC: Model Order Reduction of Electromagnetic Models for Large Integrated Circuits
      Duration 2021 – 2023

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      SL-ReDu: Sign Language Recognition in Education

      Scientific Responsible

      Gerasimos PotamianosGerasimos Potamianos, Associate Professor
      E-mail: gpotamianos@e-ce.uth.gr

      Title SL-ReDu: Sign Language Recognition in Education
      Duration 2020 – 2023
      Site https://sl-redu.e-ce.uth.gr/

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      Characterisation of LN2 UUI

      Scientific Responsible

      Christos SotiriouChristos Sotiriou, Associate Professor
      E-mail: chsotiriou@e-ce.uth.gr

      Title Characterisation of LN2 UUI
      Duration 2019 – 2023
      Site https://caslab.e-ce.uth.gr/

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      Qualcomm Faculty R&D Award 2019

      Scientific Responsible

      Christos SotiriouChristos Sotiriou, Associate Professor
      E-mail: chsotiriou@e-ce.uth.gr

      Title Qualcomm Faculty R&D Award 2019
      Duration 2019 – 2023
      Site https://caslab.e-ce.uth.gr/

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      BigOptiBase

      Title BigOptiBase
      Duration 2019 – 2022
      Site http://www.bigoptibase.gr/

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      • Sekeri – Cheiden Str
        Pedion Areos, ECE Building
        383 34 Volos – Greece
      Tel. +30 24210 74967
      e-mail gece 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 Studies Smart Grid Energy Systems
    Semester Semester 1 – Fall
    Type Elective
    ECTS 7,5
    Weekly Teaching Hours 3
    Course Site https://eclass.uth.gr/courses/E-CE_P_107/
    Course Instructor

    Aspassia DaskalopuluAspassia Daskalopulu, Assistant 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.

    e-Yπηρεσίες

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    • Phone: +30 24210 74967
    • Fax: +30 24210 74997
    • Email: gece@e-ce.uth.gr

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