Energy analysis of 4625 office buildings in South Korea KU Ahn, HS Shin, CS Park Energies 12 (6), 1114, 2019 | 14 | 2019 |
Five Machine Learning Models for HVAC Systems in an Existing Office Building SJ Ra, HS Shin, WJ Suh, HG Chu, CS Park Journal of the Architectural Institute of Korea Structure & Construction 33 …, 2017 | 11 | 2017 |
Development of a Machine Learning Model for a Chiller using Random Forest Algorithm and Data Pre-processing HS Shin, CS Park Journal of the Architectural Institute of Korea Structure & Construction 33 …, 2017 | 8 | 2017 |
Model predictive lighting control for a factory building using a deep deterministic policy gradient YS Kim, HS Shin, CS Park Journal of Building Performance Simulation 15 (2), 174-193, 2022 | 5 | 2022 |
Simulation-assisted optimal lighting control for a factory building YS Kim, JM Kim, HS Shin, CS Park Journal of the Architectural Institute of Korea 36 (8), 127-135, 2020 | 5 | 2020 |
Parameter estimation for building energy models using GRcGAN H Shin, CS Park Building Simulation 16 (4), 629-639, 2023 | 3 | 2023 |
Development of a Profiling System for Energy Performance Assessment of Existing Buildings KU Ahn, YM Kim, YS Kim, SH Yoon, HS Shin, CS Park Journal of the Architectural Institute of Korea Structure & Construction 32 …, 2016 | 3 | 2016 |
Performance gap analysis for Korean building energy efficiency certification YS Yoo, H Shin, DW Kim, CS Park Energy and Buildings 314, 114294, 2024 | 2 | 2024 |
시뮬레이션 모델을 이용한 공장 건물의 조명 최적 제어 김영섭, 김재민, 신한솔, 박철수 대한건축학회논문집 36 (8), 127-135, 2020 | 2 | 2020 |
인공신경망을 이용한 자연채광 조도예측모델 개발 김재민, 김영섭, 신한솔, 박철수 대한건축학회 학술발표대회 논문집 39 (2), 381-382, 2019 | 2 | 2019 |
Comparison of three random forest models of a chiller system H Sol Shin, C Soo Park Building Simulation 2017 15, 1631-1636, 2017 | 2 | 2017 |
Big-data analysis on energy consumption of office buildings in Seoul, Korea K Uhn Ahn, H Sol Shin, C Soo Park, K Woo Kim Building Simulation 2017 15, 1540-1547, 2017 | 2 | 2017 |
Machine Learning Models for Prediction and Control of an Ice Thermal Storage System in an Existing Building HS Shin, WJ Suh, HG Chu, SJ Ra, CS Park Journal of The Architectural Institute of Korea Structure & Construction 33 …, 2017 | 2 | 2017 |
Implementation of real-time model predictive heating control for a factory building using ANN-based lumped modelling approach SJ Ra, HS Shin, CS Park Journal of Building Performance Simulation 16 (2), 163-178, 2023 | 1 | 2023 |
실내온도 예측을 통한 공장 건물의 실시간 난방 제어 라선중, 신한솔, 김영섭, 조형곤, 김진홍, 박철수 대한건축학회 학술발표대회 논문집 41 (1), 309-310, 2021 | 1 | 2021 |
최소한의 센서와 기계학습 모델을 이용한 자연채광 조도 예측 김영섭, 김재민, 신한솔, 박철수 대한건축학회 학술발표대회 논문집 40 (1), 293-294, 2020 | 1 | 2020 |
조도 예측 모델 기반의 조명 최적 제어 김영섭, 김재민, 신한솔, 박철수 대한건축학회 학술발표대회 논문집 39 (2), 338-339, 2019 | 1 | 2019 |
Scenario-based HVAC energy cost optimizer for heterogeneous heat-source systems of real-life hospital building SH Park, K Uhn Ahn, S Hwang, S Choi, C Soo Park Building Simulation 2019 16, 3022-3029, 2019 | 1 | 2019 |
기존 건축물을 위한 건물 에너지 프로파일링 시스템 개발 안기언, 김영민, 김용세, 윤성환, 신한솔, 박철수 대한건축학회 논문집-구조계 32 (12), 77-87, 2016 | 1 | 2016 |
랜덤 포레스트 모델을 위한 데이터 전처리 기법의 적용 신한솔, 박철수 대한건축학회 학술발표대회 논문집, 633-634, 2016 | 1 | 2016 |