Publications
- D. Fernández‐Zapico, T. Peirelinck, G. Deconinck, D.W. Donker, L. Fresiello, “Physiological control for left ventricular assist devices based on deep reinforcement learning“, Artificial Organs, 2024.
- S. Zhang, K. Thoelen, T. Peirelinck, G. Deconinck, “Accelerating a consensus-based EV smart charging algorithm by user priority clustering“, 2024 Sustainable Cities and Society, 2024
- T. Peirelinck, C. Hermans, F. Spiessens, G. Deconinck, “Combined Peak Reduction and Self-Consumption using Proximal Policy Optimization“, Energy and AI, 100323, 2023
- L. Bex, T. Peirelinck, G. Deconinck, “Seasonal Performance of Fitted Q-iteration for Space Heating and Cooling with Heat Pumps“, 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2023
- T. Peirelinck, K. Thoelen, G. Deconinck, “Forecasting Sensitivity Analysis of Reinforcement Learning Based Smart Charging“, 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2023
- S. Zhang, K. Thoelen, T. Peirelinck, G. Deconinck, “Trade-Off Selection of Data-Driven Methods for EV Demand Forecasting in a Real Office Environment“, 2023 IEEE PowerTech, 2023
- T. Peirelinck, C. Hermans, F. Spiessens, G. Deconinck, “Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization“, arXiv preprint arXiv:2211.14831, 2022
- T. Peirelinck, “Reinforcement Learning with Knowledge Transfer for Residential Demand Response“, PhD Thesis KU Leuven, 2022
- T. Peirelinck, H. Kazmi, B.V. Mbuwir, C. Hermans, F. Spiessens, J. Suykens, G. Deconinck, “Transfer learning in demand response: A review of algorithms for data-efficient modelling and control“, Energy and AI 7, 100126, 2022
- T. Peirelinck, C. Hermans, F. Spiessens, G. Deconinck, “Transfer learning for Demand Response of a Multi-Agent Battery and Electric Water Heater System“, 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-6, 2021
- T. Peirelinck, C. Hermans, F. Spiessens, G. Deconinck, “Domain randomization for demand response of an electric water heater“, IEEE Transactions on Smart Grid 12 (2), 1370-1379, 2020
- T. Peirelinck, C. Hermans, F. Spiessens, G. Deconinck, “Double Q-learning for demand response of an electric water heater“, 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019
- C. Patyn, T. Peirelinck, G. Deconinck, A. Nowe, “Intelligent electric water heater control with varying state information“, 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018
- T. Peirelinck, C. Hermans, F. Spiessens, G. Deconinck, “Using reinforcement learning for optimizing heat pump control in a building model in Modelica“, 2018 IEEE International Energy Conference (ENERGYCON), 1-6, 2018
- T. Peirelinck, A.I. Bratcu, Y. Bésanger, “Impact of IEC 61850 GOOSE communication quality on decentralized reactive power control in smart distribution grids—A co-simulation study“, 2016 IEEE Electrical Power and Energy Conference (EPEC), 1-6, 2016
Or see Google Scholar
CV
- 2023 - Present
Research Engineer, Centrica.
Designing, implementing and deploying the next generation of residential demand response algorithms. In close collaboration with research centre’s across the globe. - 2022 - 2023
Post Doctoral researcher at KU Leuven.
Working on smart charging solutions for the future of electric vehicles. - 2017 - 2022
Doctoral Program in Engineering Science, KU Leuven, Leuven, Belgium
From 2018, supported by VITO. - 2016 - 2017
MSc Artificial Intelligence KU Leuven, Leuven, Belgium. - 2015 - 2016
EIT-KIC MSc Energy for Smart Cities Grenoble INP, Grenoble, France. - 2014 - 2015
EIT-KIC MSc Energy for Smart Cities KTH Stockholm, Stockholm, Sweden. - 2011 - 2014
BSc Engineering Science, KU Leuven, Leuven, Belgium