Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Chien-Fei Chen"'
Publikováno v:
ASHRAE Transactions. 2024, Vol. 130 Issue Part 1, p713-721. 9p.
Publikováno v:
iScience, Vol 27, Iss 6, Pp 109895- (2024)
Summary: Digital divide and energy insecurity are pervasive issues among underserved communities, issues that become prounoued during the COVID-19 lockdowns. These disparities underscore the critical need to address them promptly to narrow socio-econ
Externí odkaz:
https://doaj.org/article/9a0fcb25c4c34be6bfcda6822936770b
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Introduction: Demand response programs are promising approaches to balance supply and demand and reduce or shift peak hour loads. However, the impacts of residents’ behavioral patterns and social–psychological factors on these programs are poorly
Externí odkaz:
https://doaj.org/article/06899c45a2c64766a3e1c689d1050700
Publikováno v:
iScience, Vol 25, Iss 4, Pp 104139- (2022)
Summary: Energy burden directly influences households' health and safety. Amid a growing literature on energy, poverty and gender remains relatively understudied. We evaluate socioeconomic, geographic, and health factors as multidimensions of concent
Externí odkaz:
https://doaj.org/article/9ab2c3db6494420f94662bec9dcab93b
Publikováno v:
iScience, Vol 24, Iss 12, Pp 103389- (2021)
Summary: Low-income households (LIHs) have experienced increased poverty and inaccess to healthcare services during the COVID-19 pandemic, limiting their ability to adhere to health-protective behaviors. We use an epidemiological model to show how a
Externí odkaz:
https://doaj.org/article/c0cc68485599425c9da573740ae60ca6
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
Reducing energy consumption in office buildings is critical for improving energy efficiency and decarbonization at the large scale. This study (N = 854) investigated the influence of social-psychological factors on energy-saving intention and behavio
Externí odkaz:
https://doaj.org/article/632dbad01edc44fea925eb8ffa0c4d85
Autor:
Wen-Lan Wu, Jing-Min Liang, Chien-Fei Chen, Kuei-Lan Tsai, Nian-Shing Chen, Kuo-Chin Lin, Ing-Jer Huang
Publikováno v:
Sensors, Vol 21, Iss 11, p 3870 (2021)
Background: This study presents an intelligent table tennis e-training system based on a neural network (NN) model that recognizes data from sensors built into an armband device, with the component values (performances scores) estimated through princ
Externí odkaz:
https://doaj.org/article/5654213c83ee4f75842e18a9426928f7
Publikováno v:
Journal of Building Performance Simulation. 14:692-711
Publikováno v:
Journal of Infrastructure Systems. 28
Publikováno v:
Journal of Energy Engineering. 148