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ORCIDJochen L. Cremer
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2020 – today
- 2025
[j5]Jingwei Dong
, Yucheng Liao, Haiwei Xie, Jochen L. Cremer, Peyman Mohajerin Esfahani:
Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems. IEEE Trans. Control. Syst. Technol. 33(1): 392-399 (2025)- [j4]Demetris Chrysostomou, José Luis Rueda Torres, Jochen Lorenz Cremer:
Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems. IEEE Trans. Smart Grid 16(1): 87-100 (2025) - 2024
- [j3]Haiwei Xie, Jochen L. Cremer:
Game-Theoretic Learning for Power System Dynamic Ancillary Service Provisions. IEEE Control. Syst. Lett. 8: 1307-1312 (2024) - [i10]Jochen L. Cremer, Adrian Kelly, Ricardo J. Bessa, Milos Subasic, Panagiotis N. Papadopoulos, Samuel Young, Amar Sagar, Antoine Marot:
A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks. CoRR abs/2405.17184 (2024) - 2023
- [j2]Federica Bellizio, Wangkun Xu, Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, Jochen L. Cremer, Fei Teng, Goran Strbac:
Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market. Proc. IEEE 111(7): 744-761 (2023) - [i9]Benjamin Habib, Elvin Isufi, Ward van Breda, Arjen Jongepier, Jochen L. Cremer:
Deep Statistical Solver for Distribution System State Estimation. CoRR abs/2301.01835 (2023) - [i8]Haiwei Xie, Federica Bellizio, Jochen L. Cremer, Goran Strbac:
Regularised Learning with Selected Physics for Power System Dynamics. CoRR abs/2304.04046 (2023) - [i7]Jasper van Tilburg, Luciano Cavalcante Siebert, Jochen L. Cremer:
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response. CoRR abs/2304.04086 (2023) - [i6]Demetris Chrysostomou, José Luis Rueda Torres, Jochen Lorenz Cremer:
Exploring Operational Flexibility of Active Distribution Networks with Low Observability. CoRR abs/2304.04192 (2023) - [i5]Rushil Vohra, Ali Rajaei, Jochen L. Cremer:
End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting. CoRR abs/2304.07151 (2023) - [i4]Nikolina Covic, Jochen L. Cremer, Hrvoje Pandzic:
Learning a Reward Function for User-Preferred Appliance Scheduling. CoRR abs/2310.07389 (2023) - 2021
- [i3]Antoine Marot, Benjamin Donnot, Karim Chaouache, Adrian Kelly, Qiuhua Huang, Ramij Raja Hossain, Jochen L. Cremer:
Learning to run a power network with trust. CoRR abs/2110.12908 (2021)
2010 – 2019
- 2019
- [i2]Jochen L. Cremer, Goran Strbac:
A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment. CoRR abs/1912.07477 (2019) - 2018
- [i1]Jochen L. Cremer, Ioannis Konstantelos, Simon H. Tindemans, Goran Strbac:
Sample-Derived Disjunctive Rules for Secure Power System Operation. CoRR abs/1804.02948 (2018) - 2017
- [c2]Jochen L. Cremer, Marco Pau, Ferdinanda Ponci, Antonello Monti:
Optimal Scheduling of Heat Pumps for Power Peak Shaving and Customers Thermal Comfort. SMARTGREENS 2017: 23-34 - [c1]Marco Pau, Jochen Lorenz Cremer, Ferdinanda Ponci, Antonello Monti:
Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids. SMARTGREENS/VEHITS (Selected Papers) 2017: 27-51 - 2016
- [j1]Qi Zhang, Jochen L. Cremer, Ignacio E. Grossmann, Arul Sundaramoorthy, José Mauricio Pinto:
Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes. Comput. Chem. Eng. 86: 90-105 (2016)
Coauthor Index
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