Xing, T., Sun, K., & Zhao, Q. (2023). MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings. Building and environment, 239, 110388. https://doi.org/10.1016/j.buildenv.2023.110388
Chicago Style (17th ed.) CitationXing, Tian, Kailai Sun, and Qianchuan Zhao. "MITP-Net: A Deep-learning Framework for Short-term Indoor Temperature Predictions in Multi-zone Buildings." Building and Environment 239 (2023): 110388. https://doi.org/10.1016/j.buildenv.2023.110388.
MLA (9th ed.) CitationXing, Tian, et al. "MITP-Net: A Deep-learning Framework for Short-term Indoor Temperature Predictions in Multi-zone Buildings." Building and Environment, vol. 239, 2023, p. 110388, https://doi.org/10.1016/j.buildenv.2023.110388.