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Erfani, Arash / Jafarinejad, Tohid / Roels, Staf / Saelens, Dirk (2024): Impact of dataset sampling period on building thermal models used for flexibility activation. In: Building and Environment, v. 262 (August 2024).
https://doi.org/10.1016/j.buildenv.2024.111775
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Langevin, Jared / Cetin, Kristen / Willems, Sara / Kang, Jeonga / Mahmud, Roohany / Christensen, Toke Haunstrup / Li, Rongling / Knotzer, Armin / Olawale, Opeoluwa Wonuola / Saelens, Dirk / O'Connell, Sarah (2024): Customer enrollment and participation in building demand management programs: A review of key factors. In: Energy and Buildings, v. 320 (Oktober 2024).
https://doi.org/10.1016/j.enbuild.2024.114618
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Erfani, Arash / Jafarinejad, Tohid / Roels, Staf / Saelens, Dirk (2024): Assessing the impact of the dataset’s size and quality on building thermal models for energy flexibility. In: Energy and Buildings, v. 317 (August 2024).
https://doi.org/10.1016/j.enbuild.2024.114404
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Guo, Rui / Meunier, Simon / Saelens, Dirk (2024): Impact of residential heat pumps and photovoltaics on low-voltage grid reinforcements under varying insulation levels. In: Energy and Buildings, v. 318 (September 2024).
https://doi.org/10.1016/j.enbuild.2024.114436
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Zhang, Xiang / Aviv, Dorit / Saelens, Dirk / Roels, Staf (2023): Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box. In: Journal of Physics: Conference Series, v. 2654, n. 1 (1 Dezember 2023).
https://doi.org/10.1088/1742-6596/2654/1/012123
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Ritosa, Katia / Saelens, Dirk / Roels, Staf (2024): Estimating the as-built thermal performance of dwellings using simulated on-board data: From ideal to limited monitoring. In: Energy and Buildings, v. 312 (Juni 2024).
https://doi.org/10.1016/j.enbuild.2024.114171
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Erfani, Arash / Jafarinejad, Tohid / Roels, Staf / Saelens, Dirk (2024): In search of optimal building behavior models for model predictive control in the context of flexibility. In: Building Simulation, v. 17, n. 1 (Januar 2024).
https://doi.org/10.1007/s12273-023-1079-0
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Ritosa, Katia / Saelens, Dirk / Roels, Staf (2023): Assessing the co-heating test as reference for heat loss coefficient estimation: In-depth analysis on an artificial dataset. In: Energy and Buildings, v. 298 (November 2023).
https://doi.org/10.1016/j.enbuild.2023.113530
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Zhang, Xiang / Saelens, Dirk / Roels, Staf (2023): Data-driven estimation of time-dependent solar gain coefficient in a two-zone building with synthetic occupants: Two B-splines integrated grey-box modeling approaches. In: Building and Environment, v. 244 (Oktober 2023).
https://doi.org/10.1016/j.buildenv.2023.110311
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Zhang, Xiang / Saelens, Dirk / Roels, Staf (2023): Impact of solar gain estimation on heat loss coefficient determination using in-situ data: Comparing co-heating test with B-splines integrated grey-box modelling. In: Building and Environment, v. 243 (September 2023).
https://doi.org/10.1016/j.buildenv.2023.110417
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Merema, Bart / Saelens, Dirk / Breesch, Hilde (2022): Demonstration of an MPC framework for all-air systems in non-residential buildings. In: Building and Environment, v. 217 (Juni 2022).
https://doi.org/10.1016/j.buildenv.2022.109053
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Willems, Sara / Saelens, Dirk / Heylighen, Ann (2022): Discrepancies between predicted and actual indoor environmental (dis)comfort: the role of hospitalized patients’ adaptation strategies. In: Building Research & Information, v. 50, n. 7 (Juni 2022).
https://doi.org/10.1080/09613218.2022.2038060
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De Jaeger, Ina / Vandermeulen, Annelies / van der Heijde, Bram / Helsen, Lieve / Saelens, Dirk (2020): Aggregating set-point temperature profiles for archetype-based: simulations of the space heat demand within residential districts. In: Journal of Building Performance Simulation, v. 13, n. 3 (März 2020).
https://doi.org/10.1080/19401493.2020.1727567
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Reinbold, Vincent / Protopapadaki, Christina / Tavella, Jean-Philippe / Saelens, Dirk (2019): Assessing scalability of a low-voltage distribution grid co-simulation through functional mock-up interface. In: Journal of Building Performance Simulation, v. 12, n. 5 (Juni 2019).
https://doi.org/10.1080/19401493.2019.1597923
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Merema, Bart / Saelens, Dirk / Breesch, Hilde (2021): Analysing modelling challenges of smart controlled ventilation systems in educational buildings. In: Journal of Building Performance Simulation, v. 14, n. 2 (Januar 2021).
https://doi.org/10.1080/19401493.2020.1867639
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Saelens, Dirk / van Schijndel, Jos (2014): Cross-industry Multi-domain Modelling Language Applications for Building Simulation. In: Journal of Building Performance Simulation, v. 7, n. 4 (Januar 2014).
https://doi.org/10.1080/19401493.2014.870301
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Parys, Wout / Saelens, Dirk / Hens, Hugo (2011): Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices – a review-based integrated methodology. In: Journal of Building Performance Simulation, v. 4, n. 4 (Dezember 2011).
https://doi.org/10.1080/19401493.2010.524711
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Saelens, Dirk / Roels, Staf / Hens, Hugo (2004): The inlet temperature as a boundary condition for multiple-skin facade modelling. In: Energy and Buildings, v. 36, n. 8 (August 2004).
https://doi.org/10.1016/j.enbuild.2004.01.005
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Deurinck, Mieke / Saelens, Dirk / Roels, Staf (2012): Assessment of the physical part of the temperature takeback for residential retrofits. In: Energy and Buildings, v. 52 (September 2012).
https://doi.org/10.1016/j.enbuild.2012.05.024
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Verhelst, Joachim / van Ham, Geert / Saelens, Dirk / Helsen, Lieve (2017): Economic impact of persistent sensor and actuator faults in concrete core activated office buildings. In: Energy and Buildings, v. 142 (Mai 2017).
https://doi.org/10.1016/j.enbuild.2017.02.052
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Reynders, Glenn / Amaral Lopes, Rui / Marszal-Pomianowska, Anna / Aelenei, Daniel / Martins, João / Saelens, Dirk (2018): Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage. In: Energy and Buildings, v. 166 (Mai 2018).
https://doi.org/10.1016/j.enbuild.2018.02.040
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Senave, Marieline / Roels, Staf / Verbeke, Stijn / Saelens, Dirk (2020): Analysis of the influence of the definition of the interior dwelling temperature on the characterization of the heat loss coefficient via on-board monitoring. In: Energy and Buildings, v. 215 (Mai 2020).
https://doi.org/10.1016/j.enbuild.2020.109860
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De Jaeger, Ina / Reynders, Glenn / Callebaut, Chadija / Saelens, Dirk (2020): A building clustering approach for urban energy simulations. In: Energy and Buildings, v. 208 (Februar 2020).
https://doi.org/10.1016/j.enbuild.2019.109671
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Senave, Marieline / Roels, Staf / Reynders, Glenn / Verbeke, Stijn / Saelens, Dirk (2020): Assessment of data analysis methods to identify the heat loss coefficient from on-board monitoring data. In: Energy and Buildings, v. 209 (Februar 2020).
https://doi.org/10.1016/j.enbuild.2019.109706
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Andriamamonjy, Ando / Klein, Ralf / Saelens, Dirk (2019): Automated grey box model implementation using BIM and Modelica. In: Energy and Buildings, v. 188-189 (April 2019).
https://doi.org/10.1016/j.enbuild.2019.01.046
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Parys, Wout / Breesch, Hilde / Hens, Hugo / Saelens, Dirk (2012): Feasibility assessment of passive cooling for office buildings in a temperate climate through uncertainty analysis. In: Building and Environment, v. 56 (Oktober 2012).
https://doi.org/10.1016/j.buildenv.2012.02.018
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Saelens, Dirk / Parys, Wout / Baetens, Ruben (2011): Energy and comfort performance of thermally activated building systems including occupant behavior. In: Building and Environment, v. 46, n. 4 (April 2011).
https://doi.org/10.1016/j.buildenv.2010.10.012
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Andriamamonjy, Ando / Saelens, Dirk / Klein, Ralf (2019): A combined scientometric and conventional literature review to grasp the entire BIM knowledge and its integration with energy simulation. In: Journal of Building Engineering, v. 22 (März 2019).
https://doi.org/10.1016/j.jobe.2018.12.021
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Andriamamonjy, Ando / Saelens, Dirk / Klein, Ralf (2018): An automated IFC-based workflow for building energy performance simulation with Modelica. In: Automation in Construction, v. 91 (Juli 2018).
https://doi.org/10.1016/j.autcon.2018.03.019
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Andriamamonjy, Ando / Saelens, Dirk / Klein, Ralf (2018): An auto-deployed model-based fault detection and diagnosis approach for Air Handling Units using BIM and Modelica. In: Automation in Construction, v. 96 (Dezember 2018).
https://doi.org/10.1016/j.autcon.2018.09.016