Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Quintana, Matías"'
Autor:
Ito, Koichi, Zhu, Yihan, Abdelrahman, Mahmoud, Liang, Xiucheng, Fan, Zicheng, Hou, Yujun, Zhao, Tianhong, Ma, Rui, Fujiwara, Kunihiko, Ouyang, Jiani, Quintana, Matias, Biljecki, Filip
Street view imagery (SVI) has been instrumental in many studies in the past decade to understand and characterize street features and the built environment. Researchers across a variety of domains, such as transportation, health, architecture, human
Externí odkaz:
http://arxiv.org/abs/2412.18641
The indoor environment greatly affects health and well-being; enhancing health and reducing energy use in these settings is a key research focus. With advancing Information and Communication Technology (ICT), recommendation systems and reinforcement
Externí odkaz:
http://arxiv.org/abs/2411.08734
Autor:
Abdelrahman, Mahmoud, Macatulad, Edgardo, Lei, Binyu, Quintana, Matias, Miller, Clayton, Biljecki, Filip
The concept of digital twins has attracted significant attention across various domains, particularly within the built environment. However, there is a sheer volume of definitions and the terminological consensus remains out of reach. The lack of a u
Externí odkaz:
http://arxiv.org/abs/2409.19005
Publikováno v:
Energy Build. 2024;312: 114216
Advances in machine learning and increased computational power have driven progress in energy-related research. However, limited access to private energy data from buildings hinders traditional regression models relying on historical data. While gene
Externí odkaz:
http://arxiv.org/abs/2404.00525
Autor:
Liguori, Antonio, Quintana, Matias, Fu, Chun, Miller, Clayton, Frisch, Jérôme, van Treeck, Christoph
Publikováno v:
Energy Build. 2024;310: 114071
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learning methods, are typically required to reflect the non-linear behavior
Externí odkaz:
http://arxiv.org/abs/2311.16632
Publikováno v:
Appl Therm Eng. 2024;236: 121545 (2023)
Building energy prediction and management has become increasingly important in recent decades, driven by the growth of Internet of Things (IoT) devices and the availability of more energy data. However, energy data is often collected from multiple so
Externí odkaz:
http://arxiv.org/abs/2307.05926
Autor:
Jin, Xiaoyu, Fu, Chun, Kazmi, Hussain, Balint, Atilla, Canaydin, Ada, Quintana, Matias, Biljecki, Filip, Xiao, Fu, Miller, Clayton
Publikováno v:
J Phys Conf Ser. 2023;2600: 032003
The building sector plays a crucial role in the worldwide decarbonization effort, accounting for significant portions of energy consumption and environmental effects. However, the scarcity of open data sources is a continuous challenge for built envi
Externí odkaz:
http://arxiv.org/abs/2307.00793
Publikováno v:
J Phys Conf Ser. 2023;2600: 142009
Hybrid working strategies have become, and will continue to be, the norm for many offices. This raises two considerations: newly unoccupied spaces needlessly consume energy, and the occupied spaces need to be effectively used to facilitate meaningful
Externí odkaz:
http://arxiv.org/abs/2307.00789
Autor:
Miller, Clayton, Christensen, Renee, Leong, Jin Kai, Abdelrahman, Mahmoud, Tartarini, Federico, Quintana, Matias, Müller, Andre Matthias, Frei, Mario
Publikováno v:
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
This paper describes the adaptation of an open-source ecological momentary assessment smart-watch platform with three sets of micro-survey wellness-related questions focused on i) infectious disease (COVID-19) risk perception, ii) privacy and distrac
Externí odkaz:
http://arxiv.org/abs/2208.06080
Publikováno v:
Building and Environment 2023; 227:109685
We introduce Cohort Comfort Models, a new framework for predicting how new occupants would perceive their thermal environment. Cohort Comfort Models leverage historical data collected from a sample population, who have some underlying preference simi
Externí odkaz:
http://arxiv.org/abs/2208.03078