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Javier Arroyo
Javier Arroyo
PhD student
Verified email at kuleuven.be - Homepage
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Cited by
Cited by
Year
All you need to know about model predictive control for buildings
J Drgoňa, J Arroyo, IC Figueroa, D Blum, K Arendt, D Kim, EP OllÚ, ...
Annual Reviews in Control 50, 190-232, 2020
1822020
Prototyping the BOPTEST framework for simulation-based testing of advanced control strategies in buildings
D Blum, F Jorissen, S Huang, Y Chen, J Arroyo, K Benne, Y Li, V Gavan, ...
262019
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
182020
A Python-based toolbox for model predictive control applied to buildings
J Arroyo, B Van Der Heijde, A Spiessens, L Helsen
102018
Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings
D Blum, J Arroyo, S Huang, J Drgoňa, F Jorissen, HT Walnum, Y Chen, ...
Journal of Building Performance Simulation 14 (5), 586-610, 2021
92021
Reinforced model predictive control (RL-MPC) for building energy management
J Arroyo, C Manna, F Spiessens, L Helsen
Applied Energy 309, 118346, 2022
62022
An OpenAI-Gym Environment for the Building Optimization Testing (BOPTEST) Framework
J Arroyo, C Manna, F Spiessens, L Helsen
Proceedings of the 17th IBPSA Conference, 2021
62021
A data driven method for optimal sensor placement in multi-zone buildings
G Suryanarayana, J Arroyo, L Helsen, J Lago
Energy and Buildings 243, 110956, 2021
42021
Flexibility quantification in the context of flexible heat and power for buildings
J Arroyo, S Gowri, F De Ridder, L Helsen
The REHVA European HVAC Journal, 2017
42017
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
12022
Comparison of Optimal Control Techniques for Building Energy Management
J Arroyo, F Spiessens, L Helsen
Frontiers in Built Environment 8 (Artificial Intelligence Applications iná…, 2022
12022
Synergy Between Control Theory and Machine Learning for Building Energy Management
J Arroyo
2022
BOPTEST workshop at BS2021: Introduction to the BOPTEST framework for simulation-based benchmarking of advanced controllers
J Arroyo, D Blum, K Benne
Building Simulation 2021 Conference, Date: 2021/09/01-2021/09/03, Locationá…, 2021
2021
BOPTEST workshop at EnergyVille: Introduction to the BOPTEST framework for simulation-based benchmarking of advanced controllers
J Arroyo, D Blum, I Cupeiro Figueroa, K Benne
Workshop, Location: EnergyVille, 2021
2021
VlietBuilding
J Arroyo, F Spiessens, L Helsen
Mendeley Data; https://data. mendeley. com/datasets/xzdy23nzvj/1, 2021
2021
project1-boptest-gym
J Arroyo, W Michael
GitHub; https://github. com/ibpsa/project1-boptest-gym, 2020
2020
Optimal Placement of Sensors for Multi-Zone Building Modeling
J Arroyo, J Lago, S Gowri, L Helsen
INTELLIGENT BUILDING OPERATIONS WORKSHOP, Location: Boulder, Colorado, 2019
2019
project1-boptest
D Blum, J Arroyo, M Wetter
GitHub; https://github. com/ibpsa/project1-boptest, 2018
2018
Academic year 2019-2020 Nr.
J Drgoňa, J Arroyo
Academic year 2017-2018 Nr.
J Arroyo, IC Figueroa
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Articles 1–20