Search Results - "Cho, Seongkwon"

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  1. 1

    Rule reduction for control of a building cooling system using explainable AI by Cho, Seongkwon, Park, Cheol Soo

    Published in Journal of building performance simulation (02-11-2022)
    “…Although it is widely acknowledged that reinforcement learning (RL) can be beneficial for building control, many RL-based control actions remain unexplainable…”
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    Journal Article
  2. 2

    Predictability and periodicity of occupant lighting control in high-rise residential buildings by Kim, Jin Hong, Cho, Seongkwon, Park, Cheol Soo

    Published in Energy and buildings (15-10-2023)
    “…The occupant behavior (OB) is known to be a significant factor that causes the performance gap. Many studies have developed OB models to address this issue,…”
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    Journal Article
  3. 3

    Occupant behavioural freedom in building energy use by de Wilde, Pieter, Aly, Dalia, Cho, Seongkwon, Kim, Jin-Hong, Kim, Sunghyun, Park, Cheol-Soo

    Published in Applied energy (01-01-2025)
    “…Building occupant behaviour is known to be an important factor that drives building energy use and the associated carbon emissions. A substantial body of work…”
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    Journal Article
  4. 4

    Local vs. federated cooling control for an office space with heat pump and photovoltaic systems by Mun, Jeeye, Cho, Seongkwon, Choi, Seohee, Soo Park, Cheol

    Published in Energy and buildings (15-10-2024)
    “…Most of existing heat pump controls have been treated as local control problems where their control actions are solely based on local information, e.g. indoor…”
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    Journal Article
  5. 5

    Application of transfer learning to overcome data imbalance and extrapolation for model predictive control: A real-life case by Cho, Seongkwon, Ra, Seonjung, Choi, Seohee, Soo Park, Cheol

    Published in Energy and buildings (15-05-2024)
    “…This paper proposes a transfer learning (TL)-based control-oriented model development framework. In particular, this study examines the transferability from…”
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    Journal Article
  6. 6

    Development of an FDD model for an existing building using transfer learning by Chu, Han-Gyeong, Cho, Seongkwon, Park, Cheol-Soo

    Published in HVAC&R research (25-11-2024)
    “…Building heating, ventilation, and air conditioning (HVAC) systems are affected by several errors that can cause thermal discomfort to occupants and waste…”
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    Journal Article
  7. 7

    Integrated control of radiant floor heating systems in residential buildings by Cho, Seongkwon, Kim, Jin-Hong, Park, Cheol Soo

    Published in Journal of building performance simulation (03-03-2024)
    “…The 'ideal' optimal control of a radiant floor heating system (RFHS) can be achieved when a central controller is fully aware of the interrelationship between…”
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    Journal Article
  8. 8

    Stochastic Assessment for Model Predictive Control of a Variable Refrigerant Flow System by Choi, Seo-Hee, Cho, Seongkwon, Soo Park, Cheol

    “…It has been widely acknowledged that technical building performance can be influenced by many uncertain factors such as weather, scenarios, occupant behavior,…”
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    Conference Proceeding