Fred Spiessens
Fred Spiessens
Unknown affiliation
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Cited by
Cited by
Battery energy management in a microgrid using batch reinforcement learning
BV Mbuwir, F Ruelens, F Spiessens, G Deconinck
Energies 10 (11), 1846, 2017
Using reinforcement learning for demand response of domestic hot water buffers: A real-life demonstration
O De Somer, A Soares, K Vanthournout, F Spiessens, T Kuijpers, ...
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017
The Oz-E project: Design guidelines for a secure multiparadigm programming language
F Spiessens, P Van Roy
International Conference on Multiparadigm Programming in Mozart/OZ, 21-40, 2004
Direct load control of thermostatically controlled loads based on sparse observations using deep reinforcement learning
F Ruelens, BJ Claessens, P Vrancx, F Spiessens, G Deconinck
CSEE Journal of Power and Energy Systems 5 (4), 423-432, 2019
A practical formal model for safety analysis in capability-based systems
F Spiessens, P Van Roy
International Symposium on Trustworthy Global Computing, 248-278, 2005
POLIPO: Policies & OntoLogies for Interoperability, Portability, and autOnomy
D Trivellato, F Spiessens, N Zannone, S Etalle
2009 IEEE International Symposium on Policies for Distributed Systems and …, 2009
Patterns of safe collaboration.
F Spiessens
Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2007
Reputation-based ontology alignment for autonomy and interoperability in distributed access control
D Trivellato, F Spiessens, N Zannone, S Etalle
2009 International Conference on Computational Science and Engineering 3 …, 2009
Distributed optimization algorithm for residential flexibility activation—Results from a field test
A Soares, O De Somer, D Ectors, F Aben, J Goyvaerts, M Broekmans, ...
IEEE Transactions on Power Systems 34 (5), 4119-4127, 2018
Reinforcement learning for control of flexibility providers in a residential microgrid
BV Mbuwir, D Geysen, F Spiessens, G Deconinck
IET Smart Grid 3 (1), 98-107, 2020
Identification of multi-zone grey-box building models for use in model predictive control
J Arroyo, F Spiessens, L Helsen
Journal of Building Performance Simulation 13 (4), 472-486, 2020
Self-learning agent for battery energy management in a residential microgrid
BV Mbuwir, F Spiessens, G Deconinck
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018
A network flow model for price-responsive control of deferrable load profiles
J Camargo, F Spiessens, C Hermans
Energies 11 (3), 613, 2018
Authority Reduction in Protection Systems
F Spiessens, M Miller, P Van Roy, J Shapiro
Declarative laziness in a concurrent constraint language
A Spiessens, R Collet, P Van Roy
Capability confinement by membranes
Y Jaradin, F Spiessens, P Van Roy
Technical Report Research Report RR2005-03, Dep. of Comp. Science and Eng …, 2005
Using constraints to analyze and generate safe capability patterns
F Spiessens, Y Jaradin, P Van Roy
Applications of Constraint Satisfaction and Programming to Computer Security …, 2005
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration. arXiv 2017
O De Somer, A Soares, T Kuijpers, K Vossen, K Vanthournout, ...
arXiv preprint arXiv:1703.05486, 0
Distributed optimization for scheduling energy flows in community microgrids
BV Mbuwir, F Spiessens, G Deconinck
Electric Power Systems Research 187, 106479, 2020
Benchmarking regression methods for function approximation in reinforcement learning: heat pump control
BV Mbuwir, F Spiessens, G Deconinck
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019
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