Date: 11/05/2019

Author: 친환경건축연구센터

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Development of an Improved Model to Predict Building Thermal Energy Consumption by Utilizing Feature Selection

구분: 게재 국내/국외, SCI(E)/일반 학술지 구분:? 국제학술지(SCIE) 학술회의/학술지명: ENERGIES 논문제목: Development of an Improved Model to Predict Building Thermal Energy Consumption by Utilizing Feature Selection 게제일 : 2019.11.02 주저자명 : 장지훈 게재링크 : https://doi.org/10.3390/en12214187 논문 파일 다운로드 energies-12-04187 Abstract Humans spend approximately 90% of the daytime in buildings, and greenhouse gases (GHGs) emitted by buildings account for approximately 20% of total GHG emissions. As the energy consumed during building operation…

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Date: 10/30/2019

Author: 친환경건축연구센터

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Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

구분: 게재 국내/국외, SCI(E)/일반 학술지 구분:? 국제학술지(SCIE) 학술회의/학술지명: ENERGIES 논문제목: Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach 게제일 : 2019.10.24 주저자명 : 조수연 게재링크 : https://doi.org/10.3390/en12214046 논문 파일 다운로드 energies-12-04046 Abstract Although the latest energy-effcient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or…

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Date: 10/30/2019

Author: 친환경건축연구센터

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The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature

구분: 게재 국내/국외, SCI(E)/일반 학술지 구분:? 국제학술지(SCIE) 학술회의/학술지명: SUSTAINABILITY 논문제목:The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature 게제일 : 2019.09.30 주저자명 : 한진목 게재링크 : https://doi.org/10.3390/su11195417 논문파일 다운로드: sustainability-11-05417   Abstract Heating, ventilation, and air-conditioning (HVAC) systems usually have a set-point temperature control feature that uses the indoor dry-bulb temperature to control the indoor environment. However, an incorrect set-point temperature can reduce thermal comfort…

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Date: 11/29/2018

Author: 친환경건축연구센터

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Prediction of Optimum Heating Timing based on Artificial Neural Network by Utilizing BEMS Data

구분: 게재 국내/국외, SCI(E)/일반 학술지 구분:? 국제학술지(ESCI) 학술회의/학술지명: Journal of Building Engineering 논문제목: Prediction of Optimum Heating Timing based on Artificial Neural Network by Utilizing BEMS Data 게제일 : 2018.11.22 주저자명 : 장지훈 게재링크 : https://doi.org/10.1016/j.jobe.2018.11.012 논문 파일 다운로드