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_108/ |
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 | Elective |
ECTS | 7,5 |
Weekly Teaching Hours | 3 |
Course Site | https://eclass.uth.gr/courses/E-CE_P_108/ |
Course Instructor |
|
Structures of the interconnected high voltage power stations of the current power systems. Data transmission and communication infrastructure of smart grids. Monitoring and control requirements for efficient operation of transmission and distribution networks. Smart grid communication methods. Wireless communication: Wi-Fi, WiMax, mobile communication (satellite), Bluetooth, ZigBee. Wired communication: optical fibre, communication via transmission lines (PLC_ Power Line Communications, BPL- Broadband over Power Line).