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Arno Schlueter ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Silvestri, Alberto / Coraci, Davide / Wu, Duan / Borkowski, Esther / Schlueter, Arno (2023): Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control. In: Journal of Physics: Conference Series, v. 2600, n. 7 (1 November 2023).

    https://doi.org/10.1088/1742-6596/2600/7/072011

  2. McCarty, Justin / Schlueter, Arno / Rysanek, Adam (2023): Assessing the impact of morphed CMIP6 climate model outputs on building energy performance simulations. In: Journal of Physics: Conference Series, v. 2600, n. 8 (1 November 2023).

    https://doi.org/10.1088/1742-6596/2600/8/082005

  3. Oraiopoulos, Argyris / Hsieh, Shashan / Schlueter, Arno (2023): Energy futures of representative Swiss communities under the influence of urban development, building retrofit, and climate change. In: Sustainable Cities and Society, v. 91 (April 2023).

    https://doi.org/10.1016/j.scs.2023.104437

  4. Walker, Linus / Hischier, Illias / Schlueter, Arno (2022): Does context matter? Robust building retrofit decision-making for decarbonization across Europe. In: Building and Environment, v. 226 (December 2022).

    https://doi.org/10.1016/j.buildenv.2022.109666

  5. Walker, Linus / Hischier, Illias / Schlueter, Arno (2022): The impact of modeling assumptions on retrofit decision-making for low-carbon buildings. In: Building and Environment, v. 226 (December 2022).

    https://doi.org/10.1016/j.buildenv.2022.109683

  6. Frei, Mario / Hischier, Illias / Deb, Chirag / Sigrist, Diego / Schlueter, Arno (2021): Impact of Measurement Uncertainty on Building Modeling and Retrofitting Decisions. In: Frontiers in Built Environment, v. 7 (January 2021).

    https://doi.org/10.3389/fbuil.2021.675913

  7. Frei, Mario / Deb, Chirag / Nagy, Zoltan / Hischier, Illias / Schlueter, Arno (2020): Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. In: Frontiers in Built Environment, v. 6 (January 2020).

    https://doi.org/10.3389/fbuil.2020.609877

  8. Shi, Zhongming / Fonseca, Jimeno A. / Schlueter, Arno (2021): Floor area density and land uses for efficient district cooling systems in high-density cities. In: Sustainable Cities and Society, v. 65 (February 2021).

    https://doi.org/10.1016/j.scs.2020.102601

  9. Shi, Zhongming / Hsieh, Shanshan / Fonseca, Jimeno A. / Schlueter, Arno (2020): Street grids for efficient district cooling systems in high-density cities. In: Sustainable Cities and Society, v. 60 (September 2020).

    https://doi.org/10.1016/j.scs.2020.102224

  10. 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).

    https://doi.org/10.1080/19401493.2017.1354070

  11. Kalluri, Balaji / Seshadri, Bharath / Gwerder, Markus / Schlueter, Arno (2020): A longitudinal analysis of energy consumption data from a high-performance building in the tropics. In: Energy and Buildings, v. 224 (October 2020).

    https://doi.org/10.1016/j.enbuild.2020.110230

  12. Nagy, Zoltan / Yong, Fah Yik / Frei, Mario / Schlueter, Arno (2015): Occupant centered lighting control for comfort and energy efficient building operation. In: Energy and Buildings, v. 94 (May 2015).

    https://doi.org/10.1016/j.enbuild.2015.02.053

  13. Fonseca, Jimeno A. / Nguyen, Thuy-An / Schlueter, Arno / Maréchal, François (2016): City Energy Analyst (CEA): Integrated framework for analysis and optimization of building energy systems in neighborhoods and city districts. In: Energy and Buildings, v. 113 (February 2016).

    https://doi.org/10.1016/j.enbuild.2015.11.055

  14. Nagy, Zoltan / Yong, Fah Yik / Schlueter, Arno (2016): Occupant centered lighting control: A user study on balancing comfort, acceptance, and energy consumption. In: Energy and Buildings, v. 126 (August 2016).

    https://doi.org/10.1016/j.enbuild.2016.05.075

  15. Happle, Gabriel / Fonseca, Jimeno A. / Schlueter, Arno (2018): A review on occupant behavior in urban building energy models. In: Energy and Buildings, v. 174 (September 2018).

    https://doi.org/10.1016/j.enbuild.2018.06.030

  16. Seshadri, Bharath / Rysanek, Adam / Schlueter, Arno (2019): High efficiency ‘low-lift’ vapour-compression chiller for high-temperature cooling applications in non-residential buildings in hot-humid climates. In: Energy and Buildings, v. 187 (March 2019).

    https://doi.org/10.1016/j.enbuild.2019.01.028

  17. Deb, Chirag / Frei, Mario / Hofer, Johannes / Schlueter, Arno (2019): Automated load disaggregation for residences with electrical resistance heating. In: Energy and Buildings, v. 182 (January 2019).

    https://doi.org/10.1016/j.enbuild.2018.10.011

  18. Mosteiro-Romero, Martín / Hischier, Illias / Fonseca, Jimeno A. / Schlueter, Arno (2020): A novel population-based occupancy modeling approach for district-scale simulations compared to standard-based methods. In: Building and Environment, v. 181 (August 2020).

    https://doi.org/10.1016/j.buildenv.2020.107084

  19. Happle, Gabriel / Fonseca, Jimeno A. / Schlueter, Arno (2020): Context-specific urban occupancy modeling using location-based services data. In: Building and Environment, v. 175 (May 2020).

    https://doi.org/10.1016/j.buildenv.2020.106803

  20. Frei, Mario / Deb, Chirag / Stadler, Ruben / Nagy, Zoltan / Schlueter, Arno (2020): Wireless sensor network for estimating building performance. In: Automation in Construction, v. 111 (March 2020).

    https://doi.org/10.1016/j.autcon.2019.103043

  21. Deb, Chirag / Frei, Mario / Schlueter, Arno (2020): Identifying temporal properties of building components and indoor environment for building performance assessment. In: Building and Environment, v. 168 (January 2020).

    https://doi.org/10.1016/j.buildenv.2019.106506

  22. Shi, Zhongming / Fonseca, Jimeno A. / Schlueter, Arno (2017): A review of simulation-based urban form generation and optimization for energy-driven urban design. In: Building and Environment, v. 121 (August 2017).

    https://doi.org/10.1016/j.buildenv.2017.05.006

  23. Nagy, Zoltan / Svetozarevic, Bratislav / Jayathissa, Prageeth / Begle, Moritz / Hofer, Johannes / Lydon, Gearoid / Willmann, Anja / Schlueter, Arno (2016): The Adaptive Solar Facade: From concept to prototypes. In: Frontiers of Architectural Research, v. 5, n. 2 (June 2016).

    https://doi.org/10.1016/j.foar.2016.03.002

  24. Schlueter, Arno / Geyer, Philipp (2018): Linking BIM and Design of Experiments to balance architectural and technical design factors for energy performance. In: Automation in Construction, v. 86 (February 2018).

    https://doi.org/10.1016/j.autcon.2017.10.021

  25. Schlueter, Arno / Thesseling, Frank (2009): Building information model based energy/exergy performance assessment in early design stages. In: Automation in Construction, v. 18, n. 2 (March 2009).

    https://doi.org/10.1016/j.autcon.2008.07.003

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

    https://doi.org/10.1016/j.autcon.2014.09.004

  27. Rossi, Dino / Nagy, Zoltan / Schlueter, Arno (2012): Adaptive Distributed Robotics for Environmental Performance, Occupant Comfort and Architectural Expression. In: International Journal of Architectural Computing, v. 10, n. 3 (September 2012).

    https://doi.org/10.1260/1478-0771.10.3.341

  28. Schlueter, Arno / Bonwetsch, Tobias (2008): Design Rationalization of Irregular Cellular Structures. In: International Journal of Architectural Computing, v. 6, n. 2 (June 2008).

    https://doi.org/10.1260/147807708785850104

  29. Chen, Kian Wee / Janssen, Patrick / Schlueter, Arno (2018): Multi-objective optimisation of building form, envelope and cooling system for improved building energy performance. In: Automation in Construction, v. 94 (October 2018).

    https://doi.org/10.1016/j.autcon.2018.07.002

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