Search Results - "Soo Park, Cheol"

Decision making of HVAC system using Bayesian Markov chain Monte Carlo method by Kim, Young-Jin, Ahn, Ki-Uhn, Park, Cheol-Soo

“…•This paper presents multi-criteria decision making under uncertainty.•A stochastic inference using Markov chain Monte Carlo method was applied.•Bayesian MCMC…”
Get full text

A review of uncertainty analysis in building energy assessment by Tian, Wei, Heo, Yeonsook, de Wilde, Pieter, Li, Zhanyong, Yan, Da, Park, Cheol Soo, Feng, Xiaohang, Augenbroe, Godfried

“…Uncertainty analysis in building energy assessment has become an active research field because a number of factors influencing energy use in buildings are…”
Get full text

An Experimental Investigation of Coherent Structures and Induced Noise Characteristics of the Partial Cavitating Flow on a Two-Dimensional Hydrofoil by Ahn, Byoung-Kwon, Jeong, So-Won, Park, Cheol-Soo, Kim, Gun-Do

“…In many practical submerged objects, various types of cavitation such as bubble, sheet, and cloud cavitation occur according to flow conditions. In spite of…”
Get full text

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

“…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…”
Get full text

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

“…This paper proposes a transfer learning (TL)-based control-oriented model development framework. In particular, this study examines the transferability from…”
Get full text

Predictability of occupant presence and performance gap in building energy simulation by Ahn, Ki-Uhn, Kim, Deuk-Woo, Park, Cheol-Soo, de Wilde, Pieter

“…•This study reports a new concept, ‘random walk’ occupants’ presence.•According to building types, the characteristics of occupants’ presences can…”
Get full text

Performance gap analysis for Korean building energy efficiency certification by Seo Yoo, Young, Shin, Hansol, Woo Kim, Deuk, Soo Park, Cheol

“…Performance gap between predicted and measured building energy use can be caused by simplifications and assumptions introduced in the building energy modeling…”
Get full text

Correlation between occupants and energy consumption by Ahn, Ki-Uhn, Park, Cheol-Soo

“…•This paper shows the characteristics of occupants’ presence and behavior.•The degree of random characteristics was verified based on a random walk…”
Get full text

Predictability quantification of occupant presence in high-rise residential apartment buildings by Hyun Kim, Sung, Soo Park, Cheol

Get full text

Parameter estimation for building energy models using GRcGAN by Shin, Hansol, Park, Cheol-Soo

“…Parameter estimation methods can be classified into (1) manual (trial-and-error), (2) numerical optimization (optimization, sampling), (3) Bayesian inference…”
Get full text

Stepwise deterministic and stochastic calibration of an energy simulation model for an existing building by Kim, Young-Jin, Park, Cheol-Soo

“…•Calibration work should handle the following issues.•Uncertainty in the model, (2) inappropriate initial model.•Difference in sampling time, and (4) sensor…”
Get full text

BIM interface for full vs. semi-automated building energy simulation by Ahn, Ki-Uhn, Kim, Young-Jin, Park, Cheol-Soo, Kim, Inhan, Lee, Keonho

“…•The paper reports BIM interface which converts IFC to EnergyPlus input file, IDF.•The interface supports full automated and semi automated interface (FAI and…”
Get full text

Effect of electric fields on the liftoff of nonpremixed turbulent jet flames by Lee, Sang Min, Park, Cheol Soo, Cha, Min Suk, Chung, Suk Ho

“…The effect of electric fields on the liftoff of nonpremixed turbulent jet flames has been investigated by applying high-voltage alternate current (ac) to the…”
Get full text

Temporal and spatial variation in the predictability of building occupancy by Ahn, Ki Uhn, Park, Cheol Soo

“…It has been widely acknowledged that occupants are one of the major contributors to account for the performance gap between predicted vs. actual building…”
Get full text

Stochastic comparison between simplified energy calculation and dynamic simulation by Kim, Young-Jin, Yoon, Seong-Hwan, Park, Cheol-Soo

“…•The paper reports stochastic comparison between ISO 13790 and EnergyPlus.•The paper delivers the audience the need of stochastic calibration for ISO…”
Get full text

Difficulties and limitations in performance simulation of a double skin façade with EnergyPlus by Kim, Deuk-Woo, Park, Cheol-Soo

“…► We describe three cases for the difference between the reality and simulation of double skins. ► We deliver insights and lessons from the simulation and…”
Get full text

Parameter estimation of unknown properties using transfer learning from virtual to existing buildings by Ko, Yun-Dam, Park, Cheol-Soo

“…This study proposes a transfer learning (TL)-based inverse modelling to identify unknown building properties. This study examines the transfer from virtual…”
Get full text

Local vs. integrated control of a variable refrigerant flow system using artificial neural networks by Ahn, Kiuhn, Kim, Kyung Jae, Song, Kwanwoo, Park, Cheol soo

“…Existing studies have treated variable refrigerant flow (VRF) control as a local control problem where control variables are determined using only local state…”
Get full text

A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction by Park, Cheol-Soo, Han, Ingoo

“…Case-based reasoning (CBR) is a methodology for problem solving and decision-making in complex and changing business environments. Many CBR algorithms are…”
Get full text

Resistive and capacitive technology recipes for peak cooling load reductions in the global south by Chung, Woong June, Khattak, Sanober Hassan, Cecinati, Francesca, Jeong, Su-Gwang, Kershaw, Tristan, Allen, Steve, Park, Cheol-Soo, Coley, David, Natarajan, Sukumar

“…Buildings in the Global South are expected to drive a tripling of global cooling energy demand by 2050. In countries such as India, growth in energy use far…”
Get full text