Machine Learning Techniques in Power Engineering Transient Stability Studies
2018/31/N/ST7/03977
Keywords
Descriptors
- ST7_3: Inżynieria symulacji i modelowania
- ST7_2: Elektrotechnika, elektronika: półprzewodniki, elementy i układy, systemy
Panel
ST7 – Systems and communication engineering: electronics, communication, optoelectronics
Host institution
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
Voivodeship: małopolskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 3
Call
PRELUDIUM 16 – announced on 2018-09-14
- Amount awarded
- 198 800 PLN
- Project start date
- 2019-08-12
- Project end date
- 2024-08-11
- Project duration
- 60 months (the same as in the proposal)
- Project status
- Project settled
Project description
Download the project description in a pdf file
Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
Publication in academic press/journals (4)
-
Power System Oscillation Mode Prediction Based on the Lasso Method
- Authors:
- Mo, W., Lv, Jiaqing, Pawlak, M., Annakkage, U.D., Chen, H.
- Academic press:
- IEEE Access (year: 2020, volume: 8, pages: 101068-101078), Publisher: IEEE
- Status:
- Published
- DOI:
- 10.1109/ACCESS.2020.2980983 – link to the publication
-
Transient Stability Assessment in Large-Scale Power Systems Based on the Sparse Single Index Model
- Authors:
- Lv, Jiaqing
- Academic press:
- Electric Power Systems Research (year: 2020, volume: 184, pages: 106-114), Publisher: Electric Power Systems Research
- Status:
- Published
- DOI:
- 10.1016/j.epsr.2020.106291 – link to the publication
-
Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms
- Authors:
- Jiaqing Lv, Xiaodong Zheng, Mirosław Pawlaka, Weike Mo, Marek Miśkowicza
- Academic press:
- Renewable Energy (year: 2021, volume: 177, pages: 181-192), Publisher: Elsevier
- Status:
- Published
- DOI:
- 10.1016/j.renene.2021.05.123 – link to the publication
-
Transient stability assessment in large-scale power systems using sparse logistic classifiers
- Authors:
- Jiaqing Lv
- Academic press:
- International Journal of Electrical Power & Energy Systems (year: 2022, volume: 140, pages: 107), Publisher: Elsvier
- Status:
- Published
- DOI:
- 10.1016/j.ijepes.2021.107626 – link to the publication