Publications
Jochen Cremer
Journals
[14] | Bastien Giraud, Ali Rajaei, Jochen L. Cremer “Constraint-Driven Deep Learning for N-k Security Constrained Optimal Power Flow”, Electric Power System Research and 2024 IEEE Power System Computation Conference |
[13] | Nikolina Covic, Jochen L. Cremer, Hrvoje Pandžić, “Learning a Reward Function for Optimal Appliance Scheduling” Electric Power System Research and 2024 IEEE Power System Computation Conference arxiv.org/pdf/2310.07389.pdf |
[12] | Charles Renshaw-Whitman, Viktor Zobernig, Jochen L. Cremer, Laurens de Vries, ”The Non-Stationary for Multiagent Reinforcement Learning in Electricity Markets”, Electric Power System Research and 2024 IEEE Power System Computation Conference |
[11] | Al-Amin Bugaje, Jochen L. Cremer, Goran Strbac ”Generating Quality Datasets for Real-Time Security Assessment: Balancing Historically Relevant and Rare Feasible Operating Condition” International Journal of Electrical Power & Energy Systems, 2023 |
[10] | B. Habib, E. Isufi, W. v. Breda, A. Jongepier and Jochen L. Cremer, ”Deep Statistical Solver for Distribution System State Estimation, ” IEEE Transactions on Power Systems, 2023, doi: 10.1109/TPWRS.2023.3290358. |
[9] | Dariush Wahdany, Carlo Schmitt, Jochen L. Cremer, ”More than Accuracy: End-To-End Wind Power Forecasting that Optimises the Energy System”, Electric Power System Research, 2023 |
[8] | Nidarshan Veera Kumar, Jochen L. Cremer, Marjan Popov, ”Incremental learning for real-time electrical disturbance event recognition”, International Journal of Electrical Power & Energy Systems, 2023, (108988) |
[7] | Al-Amin Bugaje, Jochen L. Cremer, Goran Strbac, “Real-time Transmission Switching with Neural Networks” IET Generation, Transmission & Distribution, 2022 |
[6] | Al-Amin Bugaje, Jochen L. Cremer, Goran Strbac, “Split-based Sequential Sampling for Realtime Security Assessment”, International Journal of Electrical Power & Energy Systems, 2022 |
[5] | Federica Bellizio, Jochen L. Cremer, Goran Strbac, ”Transient Stable Corrective Control in Smart Grids Using Neural Lyapunov Learning”, IEEE Transactions of Power Systems, 2022 |
[4] | 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 |
[3] | 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 |
[2] | 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 |
[1] | 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 |
Peyman Mohajerin Esfahani
Journals
[11] | Jingwei Dong, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani, “Diagnosis for Switched Affine Systems with noisy Measurement”, Automatica, 2023 |
[10] | Pedro Zattoni Scroccaro, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani, “Adaptive Online Optimization with Predictions: Static and Dynamic Environments”, 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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