Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes. - Qi Zhang 016; Jochen L. Cremer; Ignacio E. Grossmann; Arul Sundaramoorthy; José Mauricio Pinto (Comput. Chem. Eng., 2016)

Optimal Scheduling of Heat Pumps for Power Peak Shaving and Customers Thermal Comfort. - Jochen L. Cremer; Marco Pau; Ferdinanda Ponci; Antonello Monti (SMARTGREENS, 2017)

Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids. - Marco Pau; Jochen Lorenz Cremer; Ferdinanda Ponci; Antonello Monti (SMARTGREENS/VEHITS (Selected Papers), 2017)

Sample-Derived Disjunctive Rules for Secure Power System Operation. - Jochen L. Cremer; Ioannis Konstantelos; Simon H. Tindemans; Goran Strbac (CoRR, 2018)

A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment. - Jochen L. Cremer; Goran Strbac (CoRR, 2019)

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)

Deep Statistical Solver for Distribution System State Estimation. - Benjamin Habib; Elvin Isufi; Ward van Breda; Arjen Jongepier; 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)

MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response. - Jasper van Tilburg; Luciano Cavalcante Siebert; 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)

End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting. - Rushil Vohra; Ali Rajaei; Jochen L. Cremer (CoRR, 2023)

Learning a Reward Function for User-Preferred Appliance Scheduling. - Nikolina Covic; Jochen L. Cremer; Hrvoje Pandzic (CoRR, 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 005; Goran Strbac (Proc. IEEE, 2023)

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 (ISGT EUROPE, 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 (ISGT EUROPE, 2024)

Game-Theoretic Learning for Power System Dynamic Ancillary Service Provisions. - Haiwei Xie; Jochen L. Cremer (IEEE Control. Syst. Lett., 2024)

TensorConvolutionPlus: A python package for distribution system flexibility area estimation. - Demetris Chrysostomou; José Luis Rueda Torres; Jochen Lorenz Cremer (SoftwareX, 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., 2025)

Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems. - Demetris Chrysostomou; José Luis Rueda Torres; Jochen Lorenz Cremer (IEEE Trans. Smart Grid, 2025)

Multi-Objective Reinforcement Learning for Power Grid Topology Control. - Thomas Lautenbacher; Ali Rajaei; Davide Barbieri; Jan Viebahn; Jochen L. Cremer (CoRR, 2025)

OrderFusion: Encoding Orderbook for Probabilistic Intraday Price Prediction. - Runyao Yu; Yuchen Tao; Fabian Leimgruber; Tara Esterl; Jochen L. Cremer (CoRR, 2025)

Customising Electricity Contracts at Scale with Large Language Models. - Jochen L. Cremer (CoRR, 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, 2025)