Machine Learning in Power-Electronic-Enabled Power Systems
Dnr:
NAISS 2023/22-683
Type:
NAISS Small Compute
Principal Investigator:
Li Cheng
Affiliation:
Kungliga Tekniska högskolan
Start Date:
2023-08-08
End Date:
2024-09-01
Primary Classification:
20299: Other Electrical Engineering, Electronic Engineering, Information Engineering
Webpage:
Allocation
- Dardel-GPU at PDC: 100 GPU-h/month
- Dardel at PDC: 5 x 1000 core-h/month
Abstract
This project is a part of my PhD research project.
As a PhD student in Sweden university (KTH), my research project is related to use machine learning techniques to monitor the power system and avoid the potential fault.