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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. Łokczewska, Wiktoria / Cholewa, Tomasz / Staszowska, Amelia / Wolszczak, Piotr / Guz, Łukasz / Bocian, Martyna / Siuta-Olcha, Alicja / Balaras, Constantinos A. / Deb, Chirag / Kosonen, Risto / Michalczyk, Krystian (2024): On the influence of solar insolation and increase of outdoor temperature on energy savings obtained in heating system with forecast control. Dans: Energy and Buildings, v. 320 (octobre 2024).

    https://doi.org/10.1016/j.enbuild.2024.114650

  2. Mondal, Nilabhra / Anand, Prashant / Khan, Ansar / Deb, Chirag / Cheong, David / Sekhar, Chandra / Niyogi, Dev / Santamouris, Mattheos (2024): Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook. Dans: Building Simulation, v. 17, n. 5 (janvier 2024).

    https://doi.org/10.1007/s12273-024-1112-y

  3. Verma, Ashutosh / Gupta, Vallary / Nihar, Kopal / Jana, Arnab / Jain, Rishee K. / Deb, Chirag (2023): Tropical climates and the interplay between IEQ and energy consumption in buildings: A review. Dans: Building and Environment, v. 242 (août 2023).

    https://doi.org/10.1016/j.buildenv.2023.110551

  4. Singh, Manav Mahan / Deb, Chirag / Geyer, Philipp (2022): Early-stage design support combining machine learning and building information modelling. Dans: Automation in Construction, v. 136 (avril 2022).

    https://doi.org/10.1016/j.autcon.2022.104147

  5. Anand, Prashant / Deb, Chirag / Yan, Ke / Yang, Junjing / Cheong, David / Sekhar, Chandra (2021): Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Dans: Energy and Buildings, v. 252 (décembre 2021).

    https://doi.org/10.1016/j.enbuild.2021.111478

  6. Frei, Mario / Hischier, Illias / Deb, Chirag / Sigrist, Diego / Schlueter, Arno (2021): Impact of Measurement Uncertainty on Building Modeling and Retrofitting Decisions. Dans: Frontiers in Built Environment, v. 7 (janvier 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. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).

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

  8. Cozza, Stefano / Chambers, Jonathan / Deb, Chirag / Scartezzini, Jean-Louis / Schlüter, Arno / Patel, Martin K. (2020): Do energy performance certificates allow reliable predictions of actual energy consumption and savings? Learning from the Swiss national database. Dans: Energy and Buildings, v. 224 (octobre 2020).

    https://doi.org/10.1016/j.enbuild.2020.110235

  9. Deb, Chirag / Eang, Lee Siew / Yang, Junjing / Santamouris, Mattheos (2016): Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Dans: Energy and Buildings, v. 121 (juin 2016).

    https://doi.org/10.1016/j.enbuild.2015.12.050

  10. Yang, Junjing / Santamouris, Mattheos / Lee, Siew Eang / Deb, Chirag (2016): Energy performance model development and occupancy number identification of institutional buildings. Dans: Energy and Buildings, v. 123 (juillet 2016).

    https://doi.org/10.1016/j.enbuild.2015.12.018

  11. Zhang, Fan / Deb, Chirag / Lee, Siew Eang / Yang, Junjing / Shah, Kwok Wei (2016): Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Dans: Energy and Buildings, v. 126 (août 2016).

    https://doi.org/10.1016/j.enbuild.2016.05.028

  12. Yang, Junjing / Ning, Chao / Deb, Chirag / Zhang, Fan / Cheong, David / Lee, Siew Eang / Sekhar, Chandra / Tham, Kwok Wai (2017): k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. Dans: Energy and Buildings, v. 146 (juillet 2017).

    https://doi.org/10.1016/j.enbuild.2017.03.071

  13. Deb, Chirag / Lee, Siew Eang (2018): Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. Dans: Energy and Buildings, v. 159 (janvier 2018).

    https://doi.org/10.1016/j.enbuild.2017.11.007

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

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

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

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

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

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

  17. Deb, Chirag / Ramachandraiah, A. (2011): A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. Dans: Building and Environment, v. 46, n. 6 (juin 2011).

    https://doi.org/10.1016/j.buildenv.2011.01.005

  18. Deb, Chirag / Ramachandraiah, A. (2010): Evaluation of thermal comfort in a rail terminal location in India. Dans: Building and Environment, v. 45, n. 11 (novembre 2010).

    https://doi.org/10.1016/j.buildenv.2010.05.023

  19. Anand, Prashant / Deb, Chirag / Alur, Ramachandraiah (2017): A simplified tool for building layout design based on thermal comfort simulations. Dans: Frontiers of Architectural Research, v. 6, n. 2 (juin 2017).

    https://doi.org/10.1016/j.foar.2017.03.001

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