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Clayton Miller 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. 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

  2. Ramani, Vasantha / Arjunan, Pandarasamy / Poolla, Kameshwar / Miller, Clayton (2024): Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas. Dans: Building and Environment, v. 249 (février 2024).

    https://doi.org/10.1016/j.buildenv.2023.111112

  3. Lorenz, Clara-Larissa / André, Maíra / Abele, Oliver / Gunay, Burak / Hahn, Jakob / Hensen, Philipp / Nagy, Zoltan / Ouf, Mohamed M. / Park, June Young / Yaduvanshi, Nikhil Singh / Miller, Clayton (2023): A repository of occupant-centric control case studies: Survey development and database overview. Dans: Energy and Buildings, v. 300 (décembre 2023).

    https://doi.org/10.1016/j.enbuild.2023.113649

  4. Nagy, Zoltan / Gunay, Burak / Miller, Clayton / Hahn, Jakob / Ouf, Mohamed / Lee, Seungjae / Hobson, Brodie W. / Abuimara, Tareq / Bandurski, Karol / André, Maíra / Lorenz, Clara-Larissa / Crosby, Sarah / Dong, Bing / Jiang, Zixin / Peng, Yuzhen / Favero, Matteo / Park, June Young / Nweye, Kingsley / Nojedehi, Pedram / Stopps, Helen / Sarran, Lucile / Brackley, Connor / Bassett, Katherine / Govertsen, Krissy / Koczorek, Nicole / Abele, Oliver / Casavant, Emily / Kane, Michael / O'Neill, Zheng / Yang, Tao / Day, Julia / Huchuk, Brent / Hellwig, Runa T. / Vellei, Marika (2023): Ten questions concerning occupant-centric control and operations. Dans: Building and Environment, v. 242 (août 2023).

    https://doi.org/10.1016/j.buildenv.2023.110518

  5. Kazmi, Hussain / Fu, Chun / Miller, Clayton (2023): Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale. Dans: Building and Environment, v. 239 (juillet 2023).

    https://doi.org/10.1016/j.buildenv.2023.110407

  6. Jin, Xiaoyu / Zhang, Chong / Xiao, Fu / Li, Ao / Miller, Clayton (2023): A review and reflection on open datasets of city-level building energy use and their applications. Dans: Energy and Buildings, v. 285 (avril 2023).

    https://doi.org/10.1016/j.enbuild.2023.112911

  7. Liu, Pengyuan / Zhao, Tianhong / Luo, Junjie / Lei, Binyu / Frei, Mario / Miller, Clayton / Biljecki, Filip (2023): Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort. Dans: Sustainable Cities and Society, v. 93 (juin 2023).

    https://doi.org/10.1016/j.scs.2023.104480

  8. Chinazzo, Giorgia / Andersen, Rune Korsholm / Azar, Elie / Barthelmes, Verena M. / Becchio, Cristina / Belussi, Lorenzo / Berger, Christiane / Carlucci, Salvatore / Corgnati, Stefano Paolo / Crosby, Sarah / Danza, Ludovico / de Castro, Luiza / Favero, Matteo / Gauthier, Stephanie / Hellwig, Runa T. / Jin, Quan / Kim, Joyce / Sarey Khanie, Mandana / Khovalyg, Dolaana / Lingua, Carola / Luna-Navarro, Alessandra / Mahdavi, Ardeshir / Miller, Clayton / Miño-Rodríguez, Isabel / Pigliautile, Ilaria / Pisello, Anna Laura / Rupp, Ricardo Forgiarini / Sadick, Abdul-Manan / Salamone, Francesco / Schweiker, Marcel / Syndicus, Marc / Spigliantini, Giorgia / Vásquez, Natalia Giraldo / Vakalis, Donna / Vellei, Marika / Wei, Shen (2022): Quality criteria for multi-domain studies in the indoor environment: Critical review towards research guidelines and recommendations. Dans: Building and Environment, v. 226 (décembre 2022).

    https://doi.org/10.1016/j.buildenv.2022.109719

  9. Pantelic, Jovan / Nazarian, Negin / Miller, Clayton / Meggers, Forrest / Lee, Jason Kai Wei / Licina, Dusan (2022): Transformational IoT sensing for air pollution and thermal exposures. Dans: Frontiers in Built Environment, v. 8 (février 2022).

    https://doi.org/10.3389/fbuil.2022.971523

  10. 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

  11. Abdelrahman, Mahmoud M. / Miller, Clayton (2022): Targeting occupant feedback using digital twins: Adaptive spatial–temporal thermal preference sampling to optimize personal comfort models. Dans: Building and Environment, v. 218 (juin 2022).

    https://doi.org/10.1016/j.buildenv.2022.109090

  12. Abdelrahman, Mahmoud M. / Chong, Adrian / Miller, Clayton (2022): Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec. Dans: Building and Environment, v. 207 (janvier 2022).

    https://doi.org/10.1016/j.buildenv.2021.108532

  13. Miller, Clayton / Thomas, Daren / Kämpf, Jérôme / Schlueter, Arno (2017): Urban and building multiscale co-simulation: case study implementations on two university campuses. Dans: Journal of Building Performance Simulation, v. 11, n. 3 (septembre 2017).

    https://doi.org/10.1080/19401493.2017.1354070

  14. Miller, Clayton (2019): What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification. Dans: Energy and Buildings, v. 199 (septembre 2019).

    https://doi.org/10.1016/j.enbuild.2019.07.019

  15. Sood, Tapeesh / Janssen, Patrick / Miller, Clayton (2020): Spacematch: Using Environmental Preferences to Match Occupants to Suitable Activity-Based Workspaces. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).

    https://doi.org/10.3389/fbuil.2020.00113

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