Lukas Stippel PhD student at Centre PERSEE Mines-Paris PSL

Publications

Article dans une revue (1)

Multivariate Federated Tree-based Forecasting Combining Resilience and Privacy: Application to Distributed Energy Resources Lukas Stippel,Simon Camal,Georges Kariniotakis Electric Power Systems Research, 2024, 234, pp.110730. ⟨10.1016/j.epsr.2024.110730⟩ Article dans une revue hal-04533274v1

Communication dans un congrès (4)

Unlock Data Sharing in Wind Power Forecasting through Privacy-preserving Federated-Learning: Benchmarking of Mixed and Fully Encrypted Frameworks Lukas Stippel,Simon Camal,Georges Kariniotakis Wind Energy Science Conference 2025 - WESC2025, European Academy of Wind Energy - EAWE, Jun 2025, Nantes, France Communication dans un congrès hal-05135678v1
Federated Learning with Mixed Encryption for Distributed Energy Resources: Forecasting Electricity Charging Demand at Multiple Electrical Vehicle Charging Stations Lukas Stippel,Simon Camal,Georges Kariniotakis IEEE PowerTech 2025 Conference, IEEE, Jun 2025, Kiel, Germany Communication dans un congrès hal-05138389v1
Multivariate Federated Tree-based Forecasting Combining Resilience and Privacy: Application to Distributed Energy Resources Lukas Stippel,Simon Camal,Georges Kariniotakis PSCC'2024, 23rd Power Systems Computation Conference, Jun 2024, Paris, France Communication dans un congrès hal-04531418v1
Extending Privacy-preserving Regression Trees to a Value-oriented Forecasting Approach for Trading DER Resources Lukas Stippel,Simon Camal,Georges Kariniotakis 44th International Symposium on Forecasting (ISF), International Institute of Forecasters (IIF), Jun 2024, Dijon, France Communication dans un congrès hal-04637097v1

Pré-publication, Document de travail (1)

Multi-Market Bidding of Virtual Power Plants with Machine Learning-Assisted Asynchronous Distributed Optimization Claire Bizon Monroc,Lukas Stippel,Simon Camal,Georges Kariniotakis,Luca Santosuossoet al. 2025 Pré-publication, Document de travail hal-05320139v1