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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. Zhang, Hanbei / Thilker, Christian Ankerstjerne / Madsen, Henrik / Li, Rongling / Xiao, Fu / Ma, Tianyou / Xu, Kan (2024): Stochastic occupancy modeling for spaces with irregular occupancy patterns using adaptive B-Spline-based inhomogeneous Markov Chains. In: Building and Environment, v. 261 (August 2024).

    https://doi.org/10.1016/j.buildenv.2024.111721

  2. Le Dréau, Jérôme / Amaral Lopes, Rui / O'Connell, Sarah / Finn, Donal / Hu, Maomao / Queiroz, Humberto / Alexander, Dani / Satchwell, Andrew / Österreicher, Doris / Polly, Ben / Arteconi, Alessia / de Andrade Pereira, Flavia / Hall, Monika / Kırant-Mitić, Tuğçin / Cai, Hanmin / Johra, Hicham / Kazmi, Hussain / Li, Rongling / Liu, Aaron / Nespoli, Lorenzo / Saeed, Muhammad Hafeez (2023): Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation. In: Energy and Buildings, v. 300 (December 2023).

    https://doi.org/10.1016/j.enbuild.2023.113608

  3. Kolarik, Jakub / Lyng, Nadja Lynge / Bossi, Rossana / Li, Rongling / Witterseh, Thomas / Smith, Kevin Michael / Wargocki, Pawel (2023): Application of Cluster Analysis to Examine the Performance of Low-Cost Volatile Organic Compound Sensors. In: Buildings, v. 13, n. 8 (2 August 2023).

    https://doi.org/10.3390/buildings13082070

  4. Zhang, Hanbei / Xiao, Fu / Zhang, Chong / Li, Rongling (2023): A multi-agent system based coordinated multi-objective optimal load scheduling strategy using marginal emission factors for building cluster demand response. In: Energy and Buildings, v. 281 (February 2023).

    https://doi.org/10.1016/j.enbuild.2022.112765

  5. Li, Rongling / Satchwell, Andrew J. / Finn, Donal / Christensen, Toke Haunstrup / Kummert, Michaël / Le Dréau, Jérôme / Amaral Lopes, Rui / Madsen, Henrik / Salom, Jaume / Henze, Gregor / Wittchen, Kim (2022): Ten questions concerning energy flexibility in buildings. In: Building and Environment, v. 223 (September 2022).

    https://doi.org/10.1016/j.buildenv.2022.109461

  6. Sala, Juan / Li, Rongling / Christensen, Morten H. (2020): Clustering and classification of energy meter data: A comparison analysis of data from individual homes and the aggregated data from multiple homes. In: Building Simulation, v. 14, n. 1 (November 2020).

    https://doi.org/10.1007/s12273-019-0587-4

  7. Verhaart, Jacob / Li, Rongling / Zeiler, Wim (2017): User interaction patterns of a personal cooling system: A measurement study. In: Science and Technology for the Built Environment, v. 24, n. 1 (October 2017).

    https://doi.org/10.1080/23744731.2017.1333365

  8. Li, Rongling / Ooka, Ryozo / Shukuya, Masanori (2014): Theoretical analysis on ground source heat pump and air source heat pump systems by the concepts of cool and warm exergy. In: Energy and Buildings, v. 75 (June 2014).

    https://doi.org/10.1016/j.enbuild.2014.02.019

  9. Li, Rongling / Yoshidomi, Togo / Ooka, Ryozo / Olesen, Bjarne W. (2015): Field evaluation of performance of radiant heating/cooling ceiling panel system. In: Energy and Buildings, v. 86 (January 2015).

    https://doi.org/10.1016/j.enbuild.2014.09.070

  10. Katić, Katarina / Li, Rongling / Verhaart, Jacob / Zeiler, Wim (2018): Neural network based predictive control of personalized heating systems. In: Energy and Buildings, v. 174 (September 2018).

    https://doi.org/10.1016/j.enbuild.2018.06.033

  11. Barthelmes, Verena M. / Li, Rongling / Andersen, Rune K. / Bahnfleth, William / Corgnati, Stefano P. / Rode, Carsten (2018): Profiling occupant behaviour in Danish dwellings using time use survey data. In: Energy and Buildings, v. 177 (October 2018).

    https://doi.org/10.1016/j.enbuild.2018.07.044

  12. Palmer Real, Jaume / Rasmussen, Christoffer / Li, Rongling / Leerbeck, Kenneth / Jensen, Ole Michael / Wittchen, Kim B. / Madsen, Henrik (2021): Characterisation of thermal energy dynamics of residential buildings with scarce data. In: Energy and Buildings, v. 230 (January 2021).

    https://doi.org/10.1016/j.enbuild.2020.110530

  13. Luc, Katarzyna M. / Li, Rongling / Xu, Luyi / Nielsen, Toke R. / Hensen, Jan L. M. (2020): Energy flexibility potential of a small district connected to a district heating system. In: Energy and Buildings, v. 225 (October 2020).

    https://doi.org/10.1016/j.enbuild.2020.110074

  14. Foteinaki, Kyriaki / Li, Rongling / Péan, Thibault / Rode, Carsten / Salom, Jaume (2020): Evaluation of energy flexibility of low-energy residential buildings connected to district heating. In: Energy and Buildings, v. 213 (April 2020).

    https://doi.org/10.1016/j.enbuild.2020.109804

  15. Foteinaki, Kyriaki / Li, Rongling / Rode, Carsten / Andersen, Rune Korsholm (2019): Modelling household electricity load profiles based on Danish time-use survey data. In: Energy and Buildings, v. 202 (November 2019).

    https://doi.org/10.1016/j.enbuild.2019.109355

  16. Foteinaki, Kyriaki / Li, Rongling / Heller, Alfred / Rode, Carsten (2018): Heating system energy flexibility of low-energy residential buildings. In: Energy and Buildings, v. 180 (December 2018).

    https://doi.org/10.1016/j.enbuild.2018.09.030

  17. Veselý, Michal / Molenaar, Paul / Vos, Marissa / Li, Rongling / Zeiler, Wim (2017): Personalized heating – Comparison of heaters and control modes. In: Building and Environment, v. 112 (February 2017).

    https://doi.org/10.1016/j.buildenv.2016.11.036

  18. Katić, Katarina / Li, Rongling / Zeiler, Wim (2016): Thermophysiological models and their applications: A review. In: Building and Environment, v. 106 (September 2016).

    https://doi.org/10.1016/j.buildenv.2016.06.031

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