Publications
Publications Conferences 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 Esfahan i, “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 This content is being blocked for you because it contains cookies. Would you like to view this content? By clicking here , you will automatically allow the use of cookies.
