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Paul Scharnhorst
Paul Scharnhorst
PhD Student, EPFL and CSEM
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Energym: A building model library for controller benchmarking
P Scharnhorst, B Schubnel, C Fernandez Bandera, J Salom, P Taddeo, ...
Applied Sciences 11 (8), 3518, 2021
392021
Deterministic error bounds for kernel-based learning techniques under bounded noise
ET Maddalena, P Scharnhorst, CN Jones
Automatica 134, 109896, 2021
362021
KPC: Learning-based model predictive control with deterministic guarantees
ET Maddalena, P Scharnhorst, Y Jiang, CN Jones
Learning for Dynamics and Control, 1015-1026, 2021
142021
Robust uncertainty bounds in reproducing kernel hilbert spaces: A convex optimization approach
P Scharnhorst, ET Maddalena, Y Jiang, CN Jones
IEEE Transactions on Automatic Control, 2022
112022
Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models
P Scharnhorst, B Schubnel, RE Carrillo, PJ Alet, CN Jones
2023 American Control Conference (ACC), 583-590, 2023
22023
Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems
P Scharnhorst
EPFL, 2024
2024
Risk-aware Scheduling and Dispatch of Flexibility Events in Buildings
P Scharnhorst, B Schubnel, RE Carrillo, PJ Alet, CN Jones
arXiv preprint arXiv:2311.05402, 2023
2023
Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems
P Listov
EPFL, 2022
2022
LA3
A Alessandretti, JP Allamaa, M Amrhein, J Billeter, A Bitlislioglu, ...
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