Publications
Jochen Cremer
Journals
[12] | Al-Amin Bugaje, Jochen L. Cremer, Goran Strbac, "Real-time Transmission Switching with Neural Networks" IET Generation, Transmission & Distribution, 2022 |
[11] | Al-Amin Bugaje, Jochen L. Cremer, Goran Strbac, "Split-based Sequential Sampling for Realtime Security Assessment", International Journal of Electrical Power & Energy Systems, 2022 |
[10] | Federica Bellizio, Jochen L. Cremer, Goran Strbac, "Transient Stable Corrective Control in Smart Grids Using Neural Lyapunov Learning", IEEE Transactions of Power Systems, 2022 |
[9] | Antoine Marot, Benjamin Donnot, Karim Chaouache, Adrian Kelly, Qiuhua Huang, Ramij-Raja Hossain, and Jochen L. Cremer. "Learning to run a power network with trust." arXiv preprint arXiv:2110.12908. Electric Power Systems Research, 2022 |
[8] | Antoine Marot, Adrian Kelly, Matija Naglic, Vincent Barbesant, Jochen Cremer, Alexandru Stefanov and Jan Viebahn, "Perspectives for Future Power System Control Centers for The Energy Transition", IEEE Journal of Modern Power Systems and Clean Energy, 2022 |
[7] | Federica Bellizio, Wangkun Zu, Dawei Qiu, Yujian Ye, Dimitrios Papadaskapoulos, Jochen L. Cremer, Fei Teng, Goran Strbac, "Transition to secure data-driven grid control and decentralized electricity market", IEEE Proceedings, Special Issue "The Evolution of Smart Grids", 2022 |
[6] | Federica Bellizio, Al-Amin B. Bugaje, Jochen L. Cremer, Goran Strbac, "Verifying Machine Learning Conclusions for Securing Low Inertia Systems", Sustainable Energy, Grids and Networks, 2022 |
[5] | Felix Rafael Segundo Sevilla, Yanli Liu, Emilio Barocio, Petr Korba, Manuel Andrade, Federica Bellizio, Jorrit Bos, Balarko Chaudhuri, Hector Chavez, Jochen Cremer, Robert Eriksson, Camille Hamon, Miguel Herrera, Marnick Huijsman, Michael Ingram, Danny Klaar, Venkat Krishnan, Jorge Mola, Marcos Netto, Mario Paolone, Panagiotis Papadopoulos, Miguel Ramirez, Jose Rueda, Walter Sattinger, Vladimir Terzija, Simon Tindemans, Alberto Trigueros, Yajun Wang, Junbo Zhao. "State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data". International Journal of Electrical Power & Energy Systems, 2021, (107772). |
[4] | F. Bellizio, J. L. Cremer, G. Strbac, "Machine-learned security assessment for changing system topologies." International Journal of Electrical Power & Energy Systems 134. 2022: 107380. |
[3] | F. Bellizio, J. L. Cremer, M. Sun, G. Strbac, "A causality based feature selection approach for data-driven dynamic security assessment." Electric Power Systems Research 201 (2021): 107537 |
[2] | A. Bugaje, J. L. Cremer, M. Sun, G. Strbac, "Selecting DT Models for Security Assessment using ROC- and Cost-Curves", Energy and AI, 2021: 100110. |
[1] | T. Zhang, M. Sun, J. L. Cremer, N. Zhang, G. Strbac, C. Kang, "A Confidence-Aware Machine-Learned Framework for DSA", IEEE Transactions on Power Systems, 2021 |
Peyman Mohajerin Esfahani
Journals
[11] | Van der Ploeg C, Alirezaei M, Van De Wouw N, Mohajerin Esfahani P. Multiple faults estimation in dynamical systems: Tractable design and performance bounds. IEEE Transactions on Automatic Control, 2022. |
[10] | Kolarijani, A and Mohajerin Esfahani, P. Fast Approximate Dynamic Programming for Input-Affine Dynamics. IEEE Transactions on Automatic Control, 2023. |
[9] | V. A. Nguyen, S. Shafieezadeh-Abadeh, D. Kuhn, and P. Mohajerin Esfahani, “Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization”, Mathematics of Operations Research, 2022 |
[8] | M. Saeed Sarafraz, A. Proskurnikov, M. S. Tavazoei, and P. Mohajerin Esfahani, “Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation”, IEEE Transactions on Automatic Control, 2022 |
[7] | C. van der Ploeg, E. Silvas, N. v. de Wouw, and P. Mohajerin Esfahani, “Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems”, IEEE Control Systems Letters, vol. 6, pp. 1988 - 1993, 2021 |
[6] | K. Pan, P. Palensky, and P. Mohajerin Esfahani, “Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach”, IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 1500-1515, 2022 |
[5] | S. A. Akhtar, A. S. Kolarijani and P. Mohajerin Esfahani, “Learning for Control: An Inverse Optimization Approach”, IEEE Control Systems Letters, vol. 6, pp. 187-192, 2021 |
[4] | B. Gravell, P. Mohajerin Esfahani, and T. Summers, “Learning Robust Controllers for Linear Quadratic Systems with Multiplicative Noise via Policy Gradient”, IEEE Transactions on Automatic Control, vol. 66, no. 11, pp. 5283-5298, 2021 |
[3] | B. V. Parys, P. Mohajerin Esfahani, and D. Kuhn, “From Data to Decisions: Distributionally Robust Optimization is Optimal”, Management Science, vol. 67, no. 6, pp. 3387-3402, 2021 |
[2] | A. Kolarijani, A. Proskurnikov, and P. Mohajerin Esfahani, “Macroscopic Noisy Bounded Confidence Models with Distributed Radical Opinions” IEEE Transactions on Automatic Control, vol. 66, no. 3, pp. 1174-1189, 2021 |
[1] | V. Nguyen, D. Kuhn, and P. Mohajerin Esfahani, “Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator”, Operations Research (OR), vol. 70, no. 1, pp. 490-515, 2021 |
Conference Abstracts & Proceedings
[3] | A. Kolarijani, G. Max, and P. Mohajerin Esfahani, “Fast Approximate Dynamic Programming for Infinite-Horizon Continuous-State Markov Decision Processes”, Neural Information Processing Systems (NeurIPS), December 2021 |
[2] | R. Vreugdenhil, V. A. Nguyen, A. Eftekhari, P. Mohajerin Esfahani, “Principal Component Hierarchy for Sparse Quadratic Programs”, International Conference on Machine Learning (ICML), Vienna, Austria, July 2021 |
[1] | J. Dong, A. Sharifi Kolarijani, and P. Mohajerin Esfahani, “Multimode Diagnosis for Switched Affine Systems”, American Control Conference (ACC), New Orleans, USA, May 2021 |
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