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Fred Spiessens
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2020 – today
- 2022
- [i3]Thijs Peirelinck, Chris Hermans, Fred Spiessens, Geert Deconinck
:
Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization. CoRR abs/2211.14831 (2022) - 2021
- [j1]Thijs Peirelinck
Domain Randomization for Demand Response of an Electric Water Heater. IEEE Trans. Smart Grid 12(2): 1370-1379 (2021) - [c13]Thijs Peirelinck, Chris Hermans
Transfer learning for Demand Response of a Multi-Agent Battery and Electric Water Heater System. ISGT-Europe 2021: 1-6 - 2020
- [c12]Brida V. Mbuwir, Carlo Manna
Benchmarking reinforcement learning algorithms for demand response applications. ISGT-Europe 2020: 289-293 - [c11]Brida V. Mbuwir, Kaveh Paridari, Fred Spiessens, Lars Nordström, Geert Deconinck
Transfer learning for operational planning of batteries in commercial buildings. SmartGridComm 2020: 1-6
2010 – 2019
- 2019
- [c10]Brida V. Mbuwir, Fred Spiessens, Geert Deconinck
Benchmarking regression methods for function approximation in reinforcement learning: heat pump control. ISGT Europe 2019: 1-5 - [c9]Thijs Peirelinck, Chris Hermans
Double Q-learning for Demand Response of an Electric Water Heater. ISGT Europe 2019: 1-5 - 2018
- [c8]Brida V. Mbuwir, Fred Spiessens, Geert Deconinck
Self-learning agent for battery energy management in a residential microgrid. ISGT Europe 2018: 1-6 - 2017
- [c7]Oscar De Somer, Ana Soares
Using reinforcement learning for demand response of domestic hot water buffers: A real-life demonstration. ISGT Europe 2017: 1-7 - [c6]Ferdinand von Tüllenburg, Georg Panholzer, Jia Lei Du, Ana Soares
An agent-based flexibility trading architecture with scalable and robust messaging. SmartGridComm 2017: 509-514 - [i2]Oscar De Somer, Ana Soares, Tristan Kuijpers, Koen Vossen, Koen Vanthournout, Fred Spiessens:
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration. CoRR abs/1703.05486 (2017) - [i1]Frederik Ruelens, Bert J. Claessens, Peter Vrancx, Fred Spiessens, Geert Deconinck:
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning. CoRR abs/1707.08553 (2017)
2000 – 2009
- 2009
- [c5]Daniel Trivellato, Fred Spiessens, Nicola Zannone
Reputation-Based Ontology Alignment for Autonomy and Interoperability in Distributed Access Control. CSE (3) 2009: 252-258 - [c4]Daniel Trivellato, Fred Spiessens, Nicola Zannone
POLIPO: Policies & OntoLogies for Interoperability, Portability, and autOnomy. POLICY 2009: 110-113 - 2008
- [c3]Fred Spiessens, Jerry den Hartog, Sandro Etalle:
Know What You Trust. Formal Aspects in Security and Trust 2008: 129-142 - 2007
- [b1]Fred Spiessens:
Patterns of safe collaboration. Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2007 - 2005
- [c2]Fred Spiessens, Peter Van Roy:
A Practical Formal Model for Safety Analysis in Capability-Based Systems. TGC 2005: 248-278 - 2004
- [c1]Fred Spiessens, Peter Van Roy:
The Oz-E Project: Design Guidelines for a Secure Multiparadigm Programming Language. MOZ 2004: 21-40
Coauthor Index
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