TENG, Xiao, SHEN, Zhenjiang und ZHANG, Yuntian, 2025. Rule-based symbolic AI computing-driven digital twin model for ex-ante energy evaluation of task-ambience air conditioning systems in zero-energy buildings. Sustainable Cities & Society. 15 November 2025. Vol. 134, , p. N.PAG-0. DOI 10.1016/j.scs.2025.106947.
Elsevier - Harvard (with titles)Teng, X., Shen, Z., Zhang, Y., 2025. Rule-based symbolic AI computing-driven digital twin model for ex-ante energy evaluation of task-ambience air conditioning systems in zero-energy buildings. Sustainable Cities & Society 134, N.PAG-0. https://doi.org/10.1016/j.scs.2025.106947
American Psychological Association 7th editionTeng, X., Shen, Z., & Zhang, Y. (2025). Rule-based symbolic AI computing-driven digital twin model for ex-ante energy evaluation of task-ambience air conditioning systems in zero-energy buildings. Sustainable Cities & Society, 134, N.PAG-0. https://doi.org/10.1016/j.scs.2025.106947
Springer - Basic (author-date)Teng X, Shen Z, Zhang Y (2025) Rule-based symbolic AI computing-driven digital twin model for ex-ante energy evaluation of task-ambience air conditioning systems in zero-energy buildings.. Sustainable Cities & Society 134:N.PAG-0. https://doi.org/10.1016/j.scs.2025.106947
Juristische Zitierweise (Stüber) (Deutsch)Teng, Xiao/ Shen, Zhenjiang/ Zhang, Yuntian, Rule-based symbolic AI computing-driven digital twin model for ex-ante energy evaluation of task-ambience air conditioning systems in zero-energy buildings., Sustainable Cities & Society 2025, N.PAG-0.