Kunind Sharma
Northeastern University
4 Papers
6 Citations
Kunind Sharma is an academic researcher from Northeastern University. The author has contributed to research in topics: Setpoint & Engineering. The author has an hindex of 2, co-authored 2 publications.
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Papers
Review of multi‐domain approaches to indoor environmental perception and behaviour
Marcel Schweiker,Marcel Schweiker,Eleni Ampatzi,Maedot S. Andargie,Rune Korsholm Andersen,Elie Azar,Verena Marie Barthelmes,Christiane Berger,Leonidas Bourikas,Salvatore Carlucci,Salvatore Carlucci,Giorgia Chinazzo,Lakshmi Prabha Edappilly,Lakshmi Prabha Edappilly,Matteo Favero,Stephanie Gauthier,Anja Jamrozik,Michael B. Kane,Ardeshir Mahdavi,Cristina Piselli,Anna Laura Pisello,Astrid Roetzel,Adam Rysanek,Kunind Sharma,Shengbo Zhang +24 more
TL;DR: In this article, a review of multi-domain approaches to indoor-environmental perception and behaviour is presented, highlighting motivational backgrounds, key methodologies, and major findings of human perception and behavior in indoor environments.
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•Posted Content
Data-driven Identification of Occupant Thermostat-Behavior Dynamics.
Michael B. Kane,Kunind Sharma +1 more
- 13 Dec 2019
TL;DR: A data-driven approach to study thermal comfort behavior dynamics which are not captured by standard steady-state comfort models such as predicted mean vote is presented, which could improve demand response programs through personalized controls.
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Toward A Dynamic Comfort Model for Human-Building Interaction in Grid-Interactive Efficient Buildings: Supported by Field Data
SungKu Kang,Kunind Sharma,Maharshi Pathak,Emily Casavant,Katherine L. Bassett,Misha Pavel,David Fannon,Michael Kane +7 more
TL;DR: In this paper , the authors define challenges and opportunities for developing engineering models of human-building interaction (HBI) to be used in the design of controls for grid-interactive efficient buildings (GEBs).
Longitudinal monitoring of twenty homes reveals spatiotemporal dynamics which require new models of discomfort and thermostat use.
Sungku Kang,Maharshi Pathak,Kunind Sharma,Emily Casavant,Katherine Bassett,Misha Pavel,David Fannon,Michael B. Kane +7 more
TL;DR: A 6-month study of 20 homes reveals that current demand response models compromise efficacy by neglecting human-building interactions, leading to increased discomfort and frustration, and highlights the need for new models that prioritize discomfort and dynamic occupant behavior.