State-of-the-art of AI Technology in Power Systems Applications
2022/2023
Content, progress and pedagogy of the module
Learning objectives
Knowledge
- Have a basic knowledge of the latest status of some applications of typical AI technology in power systems (e.g., power generation, transmission, and distribution etc).
Skills
- Be able to judge the usefulness of different AI methods for the assistance of design of power systems/components.
Competences
- Be able to control the working and development process within the project theme, and be able to propose new solutions within Advanced Control in Industrial Electronics
Type of instruction
The mini project should be committed as a review study with focus on the latest application of typical AI technology in power systems.
Extent and expected workload
Since it is a 5 ECTS project module, the work load is expected to be 150 hours for the student.
Exam
Exams
| Name of exam | State-of-the-art of AI Technology in Power Systems Applications |
| Type of exam | Oral exam based on a project
The student should orally present the mini project as specified in
the Examination Policies and Procedures. |
| ECTS | 5 |
| Assessment | Passed/Not Passed |
| Type of grading | Internal examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Facts about the module
| Danish title | State-of-the-art af AI teknologier til effektelektronik |
| Module code | E-APEL-K3-99 |
| Module type | Project |
| Semester | Autumn
|
| ECTS | 5 |
| Language of instruction | English |
| Location of the lecture | Campus Esbjerg |
| Responsible for the module |
Organisation
| Study Board | Study Board of Build, Energy, Electronics and Mechanics in Esbjerg |
| Department | Department of Energy |
| Faculty | The Faculty of Engineering and Science |
