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Spiessens, Fred
43  Ergebnisse:
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1

Combined peak reduction and self-consumption using proximal..:

Peirelinck, Thijs ; Hermans, Chris ; Spiessens, Fred.
Energy and AI.  16 (2024)  - p. 100323 , 2024
Link: https://doi.org/10.1016/..
 
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2

Transfer learning in demand response: A review of algorithm..:

Peirelinck, Thijs ; Kazmi, Hussain ; Mbuwir, Brida V....
Energy and AI.  7 (2022)  - p. 100126 , 2022
Link: https://doi.org/10.1016/..
 
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3

Reinforced model predictive control (RL-MPC) for building e..:

Arroyo, Javier ; Manna, Carlo ; Spiessens, Fred.
Applied Energy.  309 (2022)  - p. 118346 , 2022
Link: https://doi.org/10.1016/..
 
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4

Comparison of Optimal Control Techniques for Building Energ..:

Arroyo, Javier ; Spiessens, Fred ; Helsen, Lieve
Frontiers in Built Environment.  8 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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5

Comparison of Model Complexities in Optimal Control Tested ..:

Arroyo, Javier ; Spiessens, Fred ; Helsen, Lieve
Buildings.  12 (2022)  5 - p. 539 , 2022
Link: https://doi.org/10.3390/..
 
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6

Domain Randomization for Demand Response of an Electric Wat..:

Peirelinck, Thijs ; Hermans, Chris ; Spiessens, Fred.
IEEE Transactions on Smart Grid.  12 (2021)  2 - p. 1370-1379 , 2021
Link: https://doi.org/10.1109/..
 
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7

Identification of multi-zone grey-box building models for u..:

Arroyo, Javier ; Spiessens, Fred ; Helsen, Lieve
Journal of Building Performance Simulation.  13 (2020)  4 - p. 472-486 , 2020
Link: https://doi.org/10.1080/..
 
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8

Distributed optimization for scheduling energy flows in com..:

Mbuwir, Brida V. ; Spiessens, Fred ; Deconinck, Geert
Electric Power Systems Research.  187 (2020)  - p. 106479 , 2020
Link: https://doi.org/10.1016/..
 
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9

Transfer learning for operational planning of batteries in ..:

, In: 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm),
Mbuwir, Brida V. ; Paridari, Kaveh ; Spiessens, Fred.. - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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10

Using reinforcement learning for maximizing residential sel..:

Soares, Ana ; Geysen, Davy ; Spiessens, Fred...
Energy and Buildings.  207 (2020)  - p. 109608 , 2020
Link: https://doi.org/10.1016/..
 
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11

Benchmarking reinforcement learning algorithms for demand r..:

, In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe),
Mbuwir, Brida V. ; Manna, Carlo ; Spiessens, Fred. - p. 289-293 , 2020
Link: https://doi.org/10.1109/..
 
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12

Reinforcement learning for control of flexibility providers..:

Mbuwir, Brida V. ; Geysen, Davy ; Spiessens, Fred.
IET Smart Grid.  3 (2019)  1 - p. 98-107 , 2019
Link: https://doi.org/10.1049/..
 
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13

Benchmarking regression methods for function approximation ..:

, In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe),
Mbuwir, Brida V. ; Spiessens, Fred ; Deconinck, Geert - p. 1-5 , 2019
Link: https://doi.org/10.1109/..
 
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14

Double Q-learning for Demand Response of an Electric Water ..:

, In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe),
Peirelinck, Thijs ; Hermans, Chris ; Spiessens, Fred. - p. 1-5 , 2019
Link: https://doi.org/10.1109/..
 
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15

A Network Flow Model for Price-Responsive Control of Deferr..:

Camargo, Juliano ; Spiessens, Fred ; Hermans, Chris
Energies.  11 (2018)  3 - p. 613 , 2018
Link: https://doi.org/10.3390/..
 
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