Program of Graduate Studies | Smart Grid Energy Systems |
---|---|
Semester | Semester 1 – Fall |
Type | Required |
ECTS | 7,5 |
Weekly Teaching Hours | 3 |
Course Site | https://eclass.uth.gr/courses/E-CE_P_101/ |
Course Instructor |
|
Scientific Responsible |
|
---|---|
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 | |
---|---|
| |
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 | Required |
ECTS | 7,5 |
Weekly Teaching Hours | 3 |
Course Site | https://eclass.uth.gr/courses/E-CE_P_101/ |
Course Instructor |
|
Power System Analysis, Load Flow Analysis. Symmetric and asymmetric fault analysis. Protection and reliability of Electric Power Systems. Economic Dispatch. Operation and Control analysis. Modelling of dynamic systems. Automatic Generation Control. Real and Reactive power control. Compensation in power systems. Stability, dynamic stability, transient stability. Efficient and flexible transmission networks.