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Thermal Environmental Conditions for Human Occupancy

Standard Ashrae
- Vol. 5
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The article was published on 1992-01-01 and is currently open access. It has received 5855 citations till now. The article focuses on the topics: Occupancy.

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Adaptive thermal comfort model for different climatic zones of North-East India

TL;DR: In this paper, a comfort survey has been carried out in three different climatic zones of North-East India in four different seasons of a year, and the results show that the PMV deviates from AMV values.
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Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)

TL;DR: In this article, the authors address the design of a detached net zero-energy house located in Southern Italy to minimize thermal and visual discomfort, using the non-dominated sorting genetic algorithm, implemented in the GenOpt optimization engine through the Java genetic algorithms package, to instruct the EnergyPlus simulation engine.
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Investigation of human body skin temperatures as a bio-signal to indicate overall thermal sensations

TL;DR: In this paper, the authors investigated the possibility of using human body skin temperature to assess thermal sensation, by studying skin temperatures from ten body segments and analyzing the correlation between the physiological data: skin temperature and overall thermal sensation.
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User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings

TL;DR: In this article, the authors present a framework that integrates building occupants' personalized thermal profiles into the HVAC control logic, enabling occupants to communicate their preferences for indoor thermal conditions through a user interface, leveraging a participatory sensing approach.
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Personal thermal comfort models with wearable sensors

TL;DR: It is suggested that Cohen's kappa or AUC should be employed to assess the performance of personal thermal comfort models for imbalanced datasets due to the capacity to exclude random success.