Jochen L. Cremer

According to our database, Jochen L. Cremer authored at least 32 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Sensitivity Quantification for Distribution System State Estimation.

Betul Mamudi, Jochen Stiasny, Jochen L. Cremer

CoRR, May, 2026

A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting.

Runyao Yu, Julia Lin, Derek W. Bunn, Jochen Stiasny, Wentao Wang, Yujie Chen, Tara Esterl, Peter Palensky, Jochen L. Cremer

CoRR, May, 2026

Assessing Maintenance of Medium Voltage Cable Networks Under Time-Varying Loading.

Jochen Lorenz Cremer

CoRR, April, 2026

Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon.

Runyao Yu, Viviana Kleine, Philipp Gromotka, Thomas Rudolf, Adrian Eisenmann, Gautham Ram Chandra Mouli, Peter Palensky, Jochen L. Cremer

CoRR, March, 2026

Security-Constrained Substation Reconfiguration Considering Busbar and Coupler Contingencies.

Ali Rajaei, Jochen L. Cremer

CoRR, March, 2026

Residual Power Flow for Neural Solvers.

Jochen Stiasny, Jochen L. Cremer

CoRR, January, 2026

2025

Transferable Graph Learning for Transmission Congestion Management via Busbar Splitting.

Ali Rajaei, Peter Palensky, Jochen L. Cremer

CoRR, October, 2025

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow.

Olayiwola Arowolo, Jochen L. Cremer

CoRR, October, 2025

Addressing Model Inaccuracies in Transmission Network Reconfiguration via Diverse Alternatives.

Paul Bannmüller, Périne Cunat, Ali Rajaei, Jochen L. Cremer

CoRR, September, 2025

PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting.

Runyao Yu, Chenhui Gu, Jochen Stiasny, Qingsong Wen, Wasim Sarwar Dilov, Lianlian Qi, Jochen L. Cremer

CoRR, August, 2025

Customising Electricity Contracts at Scale with Large Language Models.

Jochen L. Cremer

CoRR, May, 2025

OrderFusion: Encoding Orderbook for Probabilistic Intraday Price Prediction.

Runyao Yu, Yuchen Tao, Fabian Leimgruber, Tara Esterl, Jochen L. Cremer

CoRR, February, 2025

Multi-Objective Reinforcement Learning for Power Grid Topology Control.

Thomas Lautenbacher, Ali Rajaei, Davide Barbieri, Jan Viebahn, Jochen L. Cremer

CoRR, February, 2025

Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems.

Demetris Chrysostomou, José Luis Rueda Torres, Jochen Lorenz Cremer

IEEE Trans. Smart Grid, January, 2025

Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems.

Jingwei Dong, Yucheng Liao, Haiwei Xie, Jochen L. Cremer, Peyman Mohajerin Esfahani

IEEE Trans. Control. Syst. Technol., January, 2025

TensorConvolutionPlus: A python package for distribution system flexibility area estimation.

Demetris Chrysostomou, José Luis Rueda Torres, Jochen Lorenz Cremer

SoftwareX, 2025

2024

Game-Theoretic Learning for Power System Dynamic Ancillary Service Provisions.

Haiwei Xie, Jochen L. Cremer

IEEE Control. Syst. Lett., 2024

Predicting Battery Cycle Life with Few-Shot Transfer Learning over Heterogeneous Datasets.

Runyao Yu, Jiaqi Wang, Yongsheng Han, Chi Zhang, Teddy Szemberg O'Connor, Jochen L. Cremer

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks.

Jochen L. Cremer, Adrian Kelly, Ricardo J. Bessa, Milos Subasic, Panagiotis N. Papadopoulos, Samuel Young, Amar Sagar, Antoine Marot

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

2023

Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market.

Federica Bellizio, Wangkun Xu, Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, Jochen L. Cremer, Fei Teng, Goran Strbac

Proc. IEEE, July, 2023

Learning a Reward Function for User-Preferred Appliance Scheduling.

Nikolina Covic, Jochen L. Cremer, Hrvoje Pandzic

CoRR, 2023

End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting.

Rushil Vohra, Ali Rajaei, Jochen L. Cremer

CoRR, 2023

Exploring Operational Flexibility of Active Distribution Networks with Low Observability.

Demetris Chrysostomou, José Luis Rueda Torres, Jochen Lorenz Cremer

CoRR, 2023

MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response.

Jasper van Tilburg, Luciano Cavalcante Siebert, Jochen L. Cremer

CoRR, 2023

Regularised Learning with Selected Physics for Power System Dynamics.

Haiwei Xie, Federica Bellizio, Jochen L. Cremer, Goran Strbac

CoRR, 2023

Deep Statistical Solver for Distribution System State Estimation.

Benjamin Habib, Elvin Isufi, Ward van Breda, Arjen Jongepier, Jochen L. Cremer

CoRR, 2023

2021

Learning to run a power network with trust.

Antoine Marot, Benjamin Donnot, Karim Chaouache, Adrian Kelly, Qiuhua Huang, Ramij Raja Hossain, Jochen L. Cremer

CoRR, 2021

2019

A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment.

Jochen L. Cremer, Goran Strbac

CoRR, 2019

2018

Sample-Derived Disjunctive Rules for Secure Power System Operation.

Jochen L. Cremer, Ioannis Konstantelos, Simon H. Tindemans, Goran Strbac

CoRR, 2018

2017

Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids.

Marco Pau, Jochen Lorenz Cremer, Ferdinanda Ponci, Antonello Monti

Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2017

Optimal Scheduling of Heat Pumps for Power Peak Shaving and Customers Thermal Comfort.

Jochen L. Cremer, Marco Pau, Ferdinanda Ponci, Antonello Monti

Proceedings of the SMARTGREENS 2017, 2017

2016

Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes.

Qi Zhang, Jochen L. Cremer, Ignacio E. Grossmann, Arul Sundaramoorthy, José Mauricio Pinto

Comput. Chem. Eng., 2016