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Matias Quintana ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Fu, Chun / Kazmi, Hussain / Quintana, Matias / Miller, Clayton (2024): Creating synthetic energy meter data using conditional diffusion and building metadata. Dans: Energy and Buildings, v. 312 (juin 2024).

    https://doi.org/10.1016/j.enbuild.2024.114216

  2. Jin, Xiaoyu / Fu, Chun / Kazmi, Hussain / Balint, Atilla / Canaydin, Ada / Quintana, Matias / Biljecki, Filip / Xiao, Fu / Miller, Clayton (2023): The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research. Dans: Journal of Physics: Conference Series, v. 2600, n. 3 (1 novembre 2023).

    https://doi.org/10.1088/1742-6596/2600/3/032003

  3. Mosteiro-Romero, Martín / Quintana, Matias / Stouffs, Rudi / Miller, Clayton (2024): A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements. Dans: Building and Environment, v. 257 (juin 2024).

    https://doi.org/10.1016/j.buildenv.2024.111479

  4. Liguori, Antonio / Quintana, Matias / Fu, Chun / Miller, Clayton / Frisch, Jérôme / van Treeck, Christoph (2024): Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. Dans: Energy and Buildings, v. 310 (mai 2024).

    https://doi.org/10.1016/j.enbuild.2024.114071

  5. Nagy, Zoltan / Henze, Gregor / Dey, Sourav / Arroyo, Javier / Helsen, Lieve / Zhang, Xiangyu / Chen, Bingqing / Amasyali, Kadir / Kurte, Kuldeep / Zamzam, Ahmed / Zandi, Helia / Drgoňa, Ján / Quintana, Matias / McCullogh, Steven / Park, June Young / Li, Han / Hong, Tianzhen / Brandi, Silvio / Pinto, Giuseppe / Capozzoli, Alfonso / Vrabie, Draguna / Berges, Mario / Nweye, Kingsley / Marzullo, Thibault / Bernstein, Andrey (2023): Ten questions concerning reinforcement learning for building energy management. Dans: Building and Environment, v. 241 (août 2023).

    https://doi.org/10.1016/j.buildenv.2023.110435

  6. Quintana, Matias / Schiavon, Stefano / Tartarini, Federico / Kim, Joyce / Miller, Clayton (2023): Cohort comfort models — Using occupant’s similarity to predict personal thermal preference with less data. Dans: Building and Environment, v. 227 (janvier 2023).

    https://doi.org/10.1016/j.buildenv.2022.109685

  7. Sood, Tapeesh / Quintana, Matias / Jayathissa, Prageeth / Abdelrahman, Mahmoud / Miller, Clayton (2019): The SDE4 Learning Trail: Crowdsourcing occupant comfort feedback at a net-zero energy building. Dans: Journal of Physics: Conference Series, v. 1343, n. 1 (1 novembre 2019).

    https://doi.org/10.1088/1742-6596/1343/1/012141

  8. Quintana, Matias / Stoeckmann, Till / Park, June Young / Turowski, Marian / Hagenmeyer, Veit / Miller, Clayton (2022): ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. Dans: Energy and Buildings, v. 265 (juin 2022).

    https://doi.org/10.1016/j.enbuild.2022.112096

  9. Quintana, Matias / Arjunan, Pandarasamy / Miller, Clayton (2020): Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering. Dans: Building Simulation, v. 14, n. 1 (novembre 2020).

    https://doi.org/10.1007/s12273-020-0626-1

  10. Jayathissa, Prageeth / Quintana, Matias / Abdelrahman, Mahmoud / Miller, Clayton (2020): Humans-as-a-Sensor for Buildings — Intensive Longitudinal Indoor Comfort Models. Dans: Buildings, v. 10, n. 10 (24 septembre 2020).

    https://doi.org/10.3390/buildings10100174

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