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Mary Ann Piette

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. Lee, Sang Hoon / Hong, Tianzhen / Le, Minh / Medina, Lujuana / Xu, Yujie / Robinson, Alastair / Piette, Mary Ann (2024): Assessment of energy and thermal resilience performance to inform climate mitigation of multifamily buildings in disadvantaged communities. In: Sustainable Cities and Society, v. 104 (May 2024).

    https://doi.org/10.1016/j.scs.2024.105319

  2. Yin, Rongxin / Liu, Jingjing / Piette, Mary Ann / Xie, Jiarong / Pritoni, Marco / Casillas, Armando / Yu, Lili / Schwartz, Peter (2023): Comparing simulated demand flexibility against actual performance in commercial office buildings. In: Building and Environment, v. 243 (September 2023).

    https://doi.org/10.1016/j.buildenv.2023.110663

  3. Malik, Jeetika / Bardhan, Ronita / Hong, Tianzhen / Piette, Mary Ann (2022): Developing occupant archetypes within urban low-income housing: A case study in Mumbai, India. In: Building Simulation, v. 15, n. 9 (February 2022).

    https://doi.org/10.1007/s12273-022-0889-9

  4. Piette, Mary Ann (1990): Analysis of a commercial ice-storage system: Design principles and measured performance. In: Energy and Buildings, v. 14, n. 4 ( 1990).

    https://doi.org/10.1016/0378-7788(90)90096-2

  5. Piette, Mary Ann / Kinney, Sat Kartar / Haves, Philip (2001): Analysis of an information monitoring and diagnostic system to improve building operations. In: Energy and Buildings, v. 33, n. 8 (October 2001).

    https://doi.org/10.1016/s0378-7788(01)00068-8

  6. Coughlin, Katie / Piette, Mary Ann / Goldman, Charles / Kiliccote, Sila (2009): Statistical analysis of baseline load models for non-residential buildings. In: Energy and Buildings, v. 41, n. 4 (April 2009).

    https://doi.org/10.1016/j.enbuild.2008.11.002

  7. Yin, Rongxin / Xu, Peng / Piette, Mary Ann / Kiliccote, Sila (2010): Study on Auto-DR and pre-cooling of commercial buildings with thermal mass in California. In: Energy and Buildings, v. 42, n. 7 (July 2010).

    https://doi.org/10.1016/j.enbuild.2010.01.008

  8. Yin, Rongxin / Kiliccote, Sila / Piette, Mary Ann (2016): Linking measurements and models in commercial buildings: A case study for model calibration and demand response strategy evaluation. In: Energy and Buildings, v. 124 (July 2016).

    https://doi.org/10.1016/j.enbuild.2015.10.042

  9. Regnier, Cynthia / Sun, Kaiyu / Hong, Tianzhen / Piette, Mary Ann (2018): Quantifying the benefits of a building retrofit using an integrated system approach: A case study. In: Energy and Buildings, v. 159 (January 2018).

    https://doi.org/10.1016/j.enbuild.2017.10.090

  10. Granderson, Jessica / Lin, Guanjing / Blum, David / Page, Janie / Spears, Michael / Piette, Mary Ann (2019): Integrating diagnostics and model-based optimization. In: Energy and Buildings, v. 182 (January 2019).

    https://doi.org/10.1016/j.enbuild.2018.10.015

  11. Yoon, Nari / Norford, Leslie / Malkawi, Ali / Samuelson, Holly / Piette, Mary Ann (2020): Dynamic metrics of natural ventilation cooling effectiveness for interactive modeling. In: Building and Environment, v. 180 (August 2020).

    https://doi.org/10.1016/j.buildenv.2020.106994

  12. Malik, Jeetika / Bardhan, Ronita / Hong, Tianzhen / Piette, Mary Ann (2020): Contextualising adaptive comfort behaviour within low-income housing of Mumbai, India. In: Building and Environment, v. 177 (June 2020).

    https://doi.org/10.1016/j.buildenv.2020.106877

  13. Wang, Zhe / Hong, Tianzhen / Piette, Mary Ann / Pritoni, Marco (2019): Inferring occupant counts from Wi-Fi data in buildings through machine learning. In: Building and Environment, v. 158 (July 2019).

    https://doi.org/10.1016/j.buildenv.2019.05.015

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