Amy Kim

TL;DR: In this article, a cross-sectional survey data was collected in university offices from six countries (Brazil, Italy, Poland, Switzerland, Taiwan and the U.S.). Results of multiple linear regression models indicate that IEQ satisfaction is the strongest positive predictor of the occupants' IEQ-productivity belief, defined as a personal, subjective evaluation of the linkage between the impacts of five IEQ aspects (the quality of indoor temperature, air, natural and electric lighting, and acoustics).

TL;DR: The LSTM models outperformed other modeling approaches across the performance metrics used by learning the predictors' temporal patterns, and demonstrated relatively high skill in predicting the PM2.5 levels in well-mixed indoor air.

TL;DR: In this article, a case study at a large higher education institution was conducted to understand the decision-making processes in energy efficiency (EE) projects at higher education institutions, particularly the exhaustive list of factors that facilities managers consider when making decision and their interrelationships.

TL;DR: In this paper, the authors explored the extent to which employees working on a recently retrofitted floor of an administrative office building believed they could control the new lighting system and measured their levels of perceived productivity and affective organizational commitment to examine correlations between these variables and levels of satisfaction with the lighting commissioning process.

TL;DR: This study builds a value proposition by determining risk-based energy savings potential of interactive lighting system while evaluating programmatic success through the measurement of occupants’ psychosocial variables and proposes a generalizable mixed-methodology to evaluate potential savings.