Battery energy management in a microgrid using batch reinforcement learning BV Mbuwir, F Ruelens, F Spiessens, G Deconinck Energies 10 (11), 1846, 2017 | 195 | 2017 |
Reinforced model predictive control (RL-MPC) for building energy management J Arroyo, C Manna, F Spiessens, L Helsen Applied Energy 309, 118346, 2022 | 167 | 2022 |
Transfer learning in demand response: A review of algorithms for data-efficient modelling and control T Peirelinck, H Kazmi, BV Mbuwir, C Hermans, F Spiessens, J Suykens, ... Energy and AI 7, 100126, 2022 | 88 | 2022 |
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 | 81 | 2017 |
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 | 73 | 2020 |
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 | 48 | 2019 |
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 | 46 | 2020 |
Domain randomization for demand response of an electric water heater T Peirelinck, C Hermans, F Spiessens, G Deconinck IEEE Transactions on Smart Grid 12 (2), 1370-1379, 2020 | 37 | 2020 |
An OpenAI-gym environment for the building optimization testing (BOPTEST) framework J Arroyo, C Manna, F Spiessens, L Helsen, D Saelens, J Laverge, ... Proceedings of Building Simulation 2021: 17th Conference of IBPSA 17, 175-182, 2022 | 36 | 2022 |
Distributed optimization for scheduling energy flows in community microgrids BV Mbuwir, F Spiessens, G Deconinck Electric Power Systems Research 187, 106479, 2020 | 35 | 2020 |
Using reinforcement learning for maximizing residential self-consumption–Results from a field test A Soares, D Geysen, F Spiessens, D Ectors, O De Somer, K Vanthournout Energy and Buildings 207, 109608, 2020 | 33 | 2020 |
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 | 33 | 2018 |
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 | 31 | 2004 |
Comparison of optimal control techniques for building energy management J Arroyo, F Spiessens, L Helsen Frontiers in Built Environment 8, 849754, 2022 | 27 | 2022 |
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 | 23 | 2009 |
A practical formal model for safety analysis in capability-based systems F Spiessens, P Van Roy Trustworthy Global Computing: International Symposium, TGC 2005, Edinburgh …, 2005 | 22 | 2005 |
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 | 21 | 2018 |
Comparison of model complexities in optimal control tested in a real thermally activated building system J Arroyo, F Spiessens, L Helsen Buildings 12 (5), 539, 2022 | 19 | 2022 |
Patterns of safe collaboration. F Spiessens Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2007 | 19 | 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 | 17 | 2009 |