Program of Graduate Studies | Smart Grid Energy Systems |
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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 |
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Scientific Responsible |
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Title | MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum |
Duration | 2023 – 2025 |
Site | https://csl.e-ce.uth.gr/projects/mlsysops |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967, +30 24210 74934 |
gece ΑΤ e-ce.uth.gr | |
PGS Tel. | +30 24210 74933 |
PGS e-mail | pgsec ΑΤ e-ce.uth.gr |
URL | https://www.e-ce.uth.gr/contact-info/?lang=en |
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 |
|
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.