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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. Ahn, Ki Uhn / Kim, Deuk-Woo / Cho, Hyun Mi / Chae, Chang-U (2023): Alternative Approaches to HVAC Control of Chat Generative Pre-Trained Transformer (ChatGPT) for Autonomous Building System Operations. In: Buildings, v. 13, n. 11 (26 October 2023).

    https://doi.org/10.3390/buildings13112680

  2. Ahn, Ki Uhn / Kim, Deuk-Woo / Cho, Kyungjoo / Cho, Dongwoo / Cho, Hyun Mi / Chae, Chang-U (2022): Hybrid Model for Forecasting Indoor CO2 Concentration. In: Buildings, v. 12, n. 10 (20 September 2022).

    https://doi.org/10.3390/buildings12101540

  3. Ahn, Ki Uhn / Park, Cheol Soo / Kim, Kyung-Jae / Kim, Deuk-Woo / Chae, Chang-U (2021): Hybrid model using Bayesian neural network for variable refrigerant flow system. In: Journal of Building Performance Simulation, v. 15, n. 1 (16 December 2021).

    https://doi.org/10.1080/19401493.2021.1992013

  4. Ahn, Ki Uhn / Park, Sung Ho / Hwang, Seungho / Choi, Sunkyu / Park, Cheol Soo (2019): Optimal control strategies of eight parallel heat pumps using Gaussian process emulator. In: Journal of Building Performance Simulation, v. 12, n. 5 (June 2019).

    https://doi.org/10.1080/19401493.2019.1597924

  5. Ahn, Ki Uhn / Park, Cheol Soo (2020): Application of deep Q-networks for model-free optimal control balancing between different HVAC systems. In: Science and Technology for the Built Environment, v. 26, n. 1 (2 January 2020).

    https://doi.org/10.1080/23744731.2019.1680234

  6. Park, SungHo / Ahn, Ki Uhn / Hwang, Seungho / Choi, Sunkyu / Park, Cheol Soo (2019): Machine learning vs. hybrid machine learning model for optimal operation of a chiller. In: Science and Technology for the Built Environment, v. 25, n. 2 (February 2019).

    https://doi.org/10.1080/23744731.2018.1510270

  7. Ahn, Ki Uhn / Park, Cheol Soo (2019): Temporal and spatial variation in the predictability of building occupancy. In: Building and Environment, v. 149 (February 2019).

    https://doi.org/10.1016/j.buildenv.2018.12.043

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