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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. Yan, Da / Jin, Yuan / Sun, Hongsan / Dong, Bing / Ye, Zi / Li, Zhaoxuan / Yuan, Yanping (2019): Household appliance recognition through a Bayes classification model. Dans: Sustainable Cities and Society, v. 46 (avril 2019).

    https://doi.org/10.1016/j.scs.2018.12.021

  2. Dong, Bing / Yan, Da / Li, Zhaoxuan / Jin, Yuan / Feng, Xiaohang / Fontenot, Hannah (2018): Modeling occupancy and behavior for better building design and operation—A critical review. Dans: Building Simulation, v. 11, n. 5 (septembre 2018).

    https://doi.org/10.1007/s12273-018-0452-x

  3. Dong, Bing / Li, Zhaoxuan / McFadden, Gaelen (2015): An investigation on energy-related occupancy behavior for low-income residential buildings. Dans: Science and Technology for the Built Environment, v. 21, n. 6 (août 2015).

    https://doi.org/10.1080/23744731.2015.1040321

  4. Dong, Bing / Li, Zhaoxuan / Rahman, S. M. Mahbobur / Vega, Rolando (2016): A hybrid model approach for forecasting future residential electricity consumption. Dans: Energy and Buildings, v. 117 (avril 2016).

    https://doi.org/10.1016/j.enbuild.2015.09.033

  5. Li, Zhaoxuan / Dong, Bing (2018): Short term predictions of occupancy in commercial buildings—Performance analysis for stochastic models and machine learning approaches. Dans: Energy and Buildings, v. 158 (janvier 2018).

    https://doi.org/10.1016/j.enbuild.2017.09.052

  6. Li, Zhaoxuan / Dong, Bing (2017): A new modeling approach for short-term prediction of occupancy in residential buildings. Dans: Building and Environment, v. 121 (août 2017).

    https://doi.org/10.1016/j.buildenv.2017.05.005

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