Jochen L. Cremer

Orcid: 0000-0001-9284-5083

According to our database1, Jochen L. Cremer authored at least 23 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting.
CoRR, August, 2025

Customising Electricity Contracts at Scale with Large Language Models.
CoRR, May, 2025

OrderFusion: Encoding Orderbook for Probabilistic Intraday Price Prediction.
CoRR, February, 2025

Multi-Objective Reinforcement Learning for Power Grid Topology Control.
CoRR, February, 2025

Tensor Convolution-Based Aggregated Flexibility Estimation in Active Distribution Systems.
IEEE Trans. Smart Grid, January, 2025

Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems.
IEEE Trans. Control. Syst. Technol., January, 2025

TensorConvolutionPlus: A python package for distribution system flexibility area estimation.
SoftwareX, 2025

2024
Game-Theoretic Learning for Power System Dynamic Ancillary Service Provisions.
IEEE Control. Syst. Lett., 2024

Predicting Battery Cycle Life with Few-Shot Transfer Learning over Heterogeneous Datasets.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

2023
Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market.
Proc. IEEE, July, 2023

Learning a Reward Function for User-Preferred Appliance Scheduling.
CoRR, 2023

End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting.
CoRR, 2023

Exploring Operational Flexibility of Active Distribution Networks with Low Observability.
CoRR, 2023

MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response.
CoRR, 2023

Regularised Learning with Selected Physics for Power System Dynamics.
CoRR, 2023

Deep Statistical Solver for Distribution System State Estimation.
CoRR, 2023

2021
Learning to run a power network with trust.
CoRR, 2021

2019
A Machine-learning based Probabilistic Perspective on Dynamic Security Assessment.
CoRR, 2019

2018
Sample-Derived Disjunctive Rules for Secure Power System Operation.
CoRR, 2018

2017
Day-Ahead Scheduling of Electric Heat Pumps for Peak Shaving in Distribution Grids.
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.
Proceedings of the SMARTGREENS 2017, 2017

2016
Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes.
Comput. Chem. Eng., 2016


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