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Mary Ann Piette

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

  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 (Mai 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 (Februar 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 (Oktober 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 (Juli 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 (Juli 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 (Januar 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 (Januar 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 (Juni 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 (Juli 2019).

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

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