Publications per year
Publications per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Rahul Nellikkath is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems
Stiasny, J., Chevalier, S., Nellikkath, R., Sævarsson, B. & Chatzivasileiadis, S., 2024, (Accepted/In press) Proceedings of 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022). 21 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets
Prat, E., Dukovska, I., Nellikkath, R., Thoma, M., Herre, L. & Chatzivasileiadis, S., 2024, (Accepted/In press) In: IEEE Transactions on Power Systems. 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile51 Downloads (Pure) -
Physics–informed neural networks for phase locked loop transient stability assessment
Nellikkath, R., Murzakhanov, I., Chatzivasileiadis, S., Venzke, A. & Bakhshizadeh, M. K., 2024, Proceedings of the 23rd Power Systems Computation Conference (PSCC 2024). Hug, G. & Milano, F. (eds.). Elsevier, 7 p. 110790. (Electric Power Systems Research, Vol. 236).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile8 Downloads (Pure) -
Trustworthy Machine Learning for Power System Applications
Nellikkath, R., 2024, Kgs. Lyngby, Denmark: DTU Wind and Energy Systems. 102 p.Research output: Book/Report › Ph.D. thesis
Open AccessFile59 Downloads (Pure) -
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
Nellikkath, R. & Chatzivasileiadis, S., 2023, Proceedings of 2023 IEEE Belgrade PowerTech. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects
- 2 Finished
-
Machine Learning and Optimization of Distribution Level Flexibility Markets
Nellikkath, R. (PhD Student), Chatzivasileiadis, S. (Main Supervisor), Pinson, P. (Supervisor), Dvijotham, K. (Examiner) & Hug-Glanzman, G. (Examiner)
01/12/2020 → 10/06/2024
Project: PhD
-
FLEXGRID
Chatzivasileiadis, S. (PI), Prat, E. (Project Participant), Herre, L. F. (Project Participant) & Nellikkath, R. (Project Participant)
01/10/2019 → 30/09/2022
Project: Research