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Clayton Miller ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Abdelrahman, Mahmoud M. / Chong, Adrian / Miller, Clayton: Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec. In: Building and Environment.


  2. Leprince, Julien / Miller, Clayton / Zeiler, Wim (2021): Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data. In: Energy and Buildings, v. 248 (Oktober 2021).


  3. Abdelrahman, Mahmoud M. / Zhan, Sicheng / Miller, Clayton / Chong, Adrian (2021): Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature. In: Energy and Buildings, v. 242 (Juli 2021).


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


  5. Wang, Cheng-Kai / Tindemans, Simon / Miller, Clayton / Agugiaro, Giorgio / Stoter, Jantien (2020): Bayesian calibration at the urban scale: a case study on a large residential heating demand application in Amsterdam. In: Journal of Building Performance Simulation, v. 13, n. 3 (März 2020).


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


  7. Miller, Clayton / Arjunan, Pandarasamy / Kathirgamanathan, Anjukan / Fu, Chun / Roth, Jonathan / Park, June Young / Balbach, Chris / Gowri, Krishnan / Nagy, Zoltan / Fontanini, Anthony D. / Haberl, Jeff (2020): The ASHRAE Great Energy Predictor III competition: Overview and results. In: Science and Technology for the Built Environment, v. 26, n. 10 (Oktober 2020).


  8. Miller, Clayton / Meggers, Forrest (2017): Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildings. In: Energy and Buildings, v. 156 (Dezember 2017).


  9. Teitelbaum, Eric / Jayathissa, Prageeth / Miller, Clayton / Meggers, Forrest (2020): Design with Comfort: Expanding the psychrometric chart with radiation and convection dimensions. In: Energy and Buildings, v. 209 (Februar 2020).


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


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


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


  13. O'Brien, William / Wagner, Andreas / Schweiker, Marcel / Mahdavi, Ardeshir / Day, Julia / Kjærgaard, Mikkel Baun / Carlucci, Salvatore / Dong, Bing / Tahmasebi, Farhang / Yan, Da / Hong, Tianzhen / Burak Gunay, H. / Nagy, Zoltan / Miller, Clayton / Berger, Christiane (2020): Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. In: Building and Environment, v. 178 (Juli 2020).


  14. Pantelic, Jovan / Rysanek, Adam / Miller, Clayton / Peng, Yuzhen / Teitelbaum, Eric / Meggers, Forrest / Schlüter, Arno (2018): Comparing the indoor environmental quality of a displacement ventilation and passive chilled beam application to conventional air-conditioning in the Tropics. In: Building and Environment, v. 130 (Februar 2018).


  15. Miller, Clayton / Nagy, Zoltan / Schlueter, Arno (2015): Automated daily pattern filtering of measured building performance data. In: Automation in Construction, v. 49 (Januar 2015).


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