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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. Karunyasopon, Prapavee / Park, Dong Yoon / Le, Duc Minh / Chang, Seongju: Performance analysis of transparent BIPV/T double skin façades integrated with the decision-making algorithm for mixed-mode building ventilation. In: Architectural Engineering and Design Management.

    https://doi.org/10.1080/17452007.2023.2232378

  2. Ryu, Jeong-A / Chang, Seongju (2019): Data Driven Heating Energy Load Forecast Modeling Enhanced by Nonlinear Autoregressive Exogenous Neural Networks. In: International Journal of Structural and Civil Engineering Research, v. 8, n. 3 ( 2019).

    https://doi.org/10.18178/ijscer.8.3.246-252

  3. Kim, Yesuel / Chang, Seongju (2019): A Hybrid Approach of Using Both Simulation plus Neural Networks for Window Design Optimization and HVAC Energy Consumption Prediction Modeling. In: International Journal of Structural and Civil Engineering Research, v. 8, n. 4 ( 2019).

    https://doi.org/10.18178/ijscer.8.4.300-309

  4. Baek, Jeongyeop / Park, Dong Yoon / Park, Hansaem / Le, Duc Minh / Chang, Seongju (2023): Vision-based personal thermal comfort prediction based on half-body thermal distribution. In: Building and Environment, v. 228 (January 2023).

    https://doi.org/10.1016/j.buildenv.2022.109877

  5. Le, Duc Minh / Park, Dong Yoon / Baek, Jeongyeop / Karunyasopon, Prapavee / Chang, Seongju (2022): Multi-criteria decision making for adaptive façade optimal design in varied climates: Energy, daylight, occupants’ comfort, and outdoor view analysis. In: Building and Environment, v. 223 (September 2022).

    https://doi.org/10.1016/j.buildenv.2022.109479

  6. Baek, Jeongyeop / Park, Hansaem / Chang, Seongju (2022): Enhanced LSTM-based community energy consumption prediction model leveraging shared building cluster datasets. In: Journal of Building Performance Simulation, v. 15, n. 6 (4 August 2022).

    https://doi.org/10.1080/19401493.2022.2075939

  7. Park, Hansaem / Park, Dong Yoon / Noh, Byeongjoon / Chang, Seongju (2022): Stacking deep transfer learning for short-term cross building energy prediction with different seasonality and occupant schedule. In: Building and Environment, v. 218 (June 2022).

    https://doi.org/10.1016/j.buildenv.2022.109060

  8. Park, Dong Yoon / Chang, Seongju (2020): Effects of combined central air conditioning diffusers and window-integrated ventilation system on indoor air quality and thermal comfort in an office. In: Sustainable Cities and Society, v. 61 (October 2020).

    https://doi.org/10.1016/j.scs.2020.102292

  9. Song, Nah-Oak / Suh, Dongjun / Sung, Dan Keun / Chang, Seongju (2015): Apartment to grid (A2G) paradigm for demand and cost sensitive residential complex energy management. In: Energy and Buildings, v. 107 (November 2015).

    https://doi.org/10.1016/j.enbuild.2015.08.001

  10. Ham, Sungil / Chang, Seongju / Suh, Dongjun / Narangerel, Amartuvshin (2015): Exploratory Methodology for Acquiring Architectural Plans Based on Spatial Graph Similarity. In: Architectural Research, v. 17, n. 2 (June 2015).

    https://doi.org/10.5659/aikar.2015.17.2.57

  11. GhaffarianHoseini, Amirhosein / Berardi, Umberto / AlWaer, Husam / Chang, Seongju / Halawa, Edward / GhaffarianHoseini, Ali / Clements-Croome, Derek (2015): What is an intelligent building? Analysis of recent interpretations from an international perspective. In: Architectural Science Review, v. 59, n. 5 (March 2015).

    https://doi.org/10.1080/00038628.2015.1079164

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