Lukas Stippel

PhD student at Centre PERSEE Mines-Paris PSL
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Documents

Compétences

Forecasting Federated Learning

Publications

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Publications

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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

Assessment of Kolmogorov-Arnold Networks for Spatio-Temporal Renewable Energy Forecasting

Lukas Stippel , Carla Gonçalves , Simon Camal , Georges Kariniotakis , Ricardo J Bessa

International Conference on Energy & Meteorology, World Energy and Meteorology Council, Jun 2025, Galzignano Terme, Italy

Communication dans un congrès hal-05552098v1

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
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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