Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ki Uhn Ahn"'
Publikováno v:
Buildings, Vol 13, Iss 11, p 2680 (2023)
Artificial intelligence (AI) technology has rapidly advanced and transformed the nature of scientific inquiry. The recent release of the large language model Chat Generative Pre-Trained Transformer (ChatGPT) has attracted significant attention from t
Externí odkaz:
https://doaj.org/article/45fe9a355b3b488991a519e23d5299d5
Publikováno v:
Buildings, Vol 12, Iss 10, p 1540 (2022)
Indoor CO2 concentration is considered a metric of indoor air quality that affects the health of occupants. In this study, a hybrid model was developed for forecasting the varying indoor CO2 concentration levels in a residential apartment unit in the
Externí odkaz:
https://doaj.org/article/b529d35800334d608ab1a84860bf47eb
Publikováno v:
Energies, Vol 12, Iss 6, p 1114 (2019)
The purpose of the present study was to investigate the relevance of building thermal performance and characteristics to building energy consumption. This paper reports an energy analysis of 4625 office buildings in Seoul, South Korea, using data fro
Externí odkaz:
https://doaj.org/article/0a4d1892fd0c496ea7d2d2ec73ede4a5
Publikováno v:
Journal of Building Performance Simulation. 15:1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6603892d55611973dab90f40a4c7c0e1
https://doi.org/10.1080/19401493.2021.1992013
https://doi.org/10.1080/19401493.2021.1992013
Publikováno v:
KIEAE Journal. 20:177-183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::958ab62c93be3d5aa19e53624342388d
https://doi.org/10.12813/kieae.2020.20.6.177
https://doi.org/10.12813/kieae.2020.20.6.177
Publikováno v:
Science and Technology for the Built Environment. 26:1117-1131
Existing studies have treated variable refrigerant flow (VRF) control as a local control problem where control variables are determined using only local state information. This study investigates a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a266f86de039ee96cde8cac05c75ab6b
https://doi.org/10.1080/23744731.2020.1760636
https://doi.org/10.1080/23744731.2020.1760636
Publikováno v:
Buildings; Volume 12; Issue 10; Pages: 1717
End-use consumption provides more detailed information than total consumption and reveals the mechanism of energy flow through a given building. Specifically, for weather-sensitive energy end-uses, it enables the prioritization and selection of heati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f3238323e09c259c7ab3ebcec11fc77
https://doi.org/10.3390/buildings12101717
https://doi.org/10.3390/buildings12101717
Publikováno v:
Sustainability; Volume 14; Issue 17; Pages: 11095
The building sector is responsible for more than one-third of total global energy consumption; hence, increasingly efficient energy use in this sector will contribute to achieving carbon neutrality. Most existing building-energy-benchmarking methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf849c10ccfd858305694418ed68975c
https://doi.org/10.3390/su141711095
https://doi.org/10.3390/su141711095
Autor:
Cheol-Soo Park, Ki Uhn Ahn
Publikováno v:
Science and Technology for the Built Environment. 26:61-74
A deep Q-network (DQN) was applied for model-free optimal control balancing between different HVAC systems. The DQN was coupled to a reference office building: an EnergyPlus simulation model provid...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab1cd21d35ad87ff72a2cb9289c0e48c
https://doi.org/10.1080/23744731.2019.1680234
https://doi.org/10.1080/23744731.2019.1680234
Publikováno v:
Journal of Building Performance Simulation. 12:650-662
This study describes the development of the optimal control strategies of eight parallel heat pumps in an existing building. The building consists of seven floors above ground and two floors underg...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dca7e20fd848ca71388075039e679ad8
https://doi.org/10.1080/19401493.2019.1597924
https://doi.org/10.1080/19401493.2019.1597924