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Popli Nipun

Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes stochastiques

Montefiore Institute

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Main Referenced Co-authors
Capitanescu, Florin (3)
Davoodi, Elnaz (3)
Wehenkel, Louis  (3)
Main Referenced Keywords
machine learning (2); artificial intelligence (1); deep neural networks (1); Electric power systems (1); electric power systems (1);
Main Referenced Disciplines
Electrical & electronics engineering (3)

Publications (total 3)

The most downloaded
137 downloads
Popli, N., Davoodi, E., Capitanescu, F., & Wehenkel, L. (28 December 2024). On the robustness of machine-learnt proxies for security constrained optimal power flow solvers. Sustainable Energy, Grids and Networks, 37, 101265. doi:10.1016/j.segan.2023.101265 https://hdl.handle.net/2268/304498

The most cited

1 citations (Scopus®)

Popli, N., Davoodi, E., Capitanescu, F., & Wehenkel, L. (March 2024). Machine learning based binding contingency pre-selection for AC-PSCOPF calculations. IEEE Transactions on Power Systems, 39 (2), 4751-4754. doi:10.1109/TPWRS.2023.3338971 https://hdl.handle.net/2268/305630

Popli, N., Davoodi, E., Capitanescu, F., & Wehenkel, L. (28 December 2024). On the robustness of machine-learnt proxies for security constrained optimal power flow solvers. Sustainable Energy, Grids and Networks, 37, 101265. doi:10.1016/j.segan.2023.101265
Peer Reviewed verified by ORBi

Popli, N., Davoodi, E., Capitanescu, F., & Wehenkel, L. (March 2024). Machine learning based binding contingency pre-selection for AC-PSCOPF calculations. IEEE Transactions on Power Systems, 39 (2), 4751-4754. doi:10.1109/TPWRS.2023.3338971
Peer Reviewed verified by ORBi

Davoodi, E., Capitanescu, F., Popli, N., & Wehenkel, L. (2022). Re-thinking Var Planning to Mitigate Reactive Power Reserves Scarcity During the Energy Transition. In Proceedings of MEDPOWER2022 (pp. 1-6). United Kingdom: The Institution of Engineering and Technology.
Peer reviewed

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