activity
20192023
most citedThe Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

264 citations · 1.1k across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 16 cited

Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization

Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan +3

This work presents a study on the characterization of the air-conditioning (AC) usage pattern of non-residential buildings from thermal images collected from an urban-scale infrare…

cs.HC2022★ 36 cited

Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection

Federico Tartarini, Mario Frei, Stefano Schiavon +2

Collecting feedback from people in indoor and outdoor environments is traditionally challenging and complex in a reliable, longitudinal, and non-intrusive way. This paper introduce…

physics.soc-ph2022★ 19 cited

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization

Martín Mosteiro-Romero, Clayton Miller, Adrian Chong +1

Before 2020, the way occupants utilized the built environment had been changing slowly towards scenarios in which occupants have more choice and flexibility in where and how they w…

cs.HC2022★ 3 cited

Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings

Clayton Miller, Renee Christensen, Jin Kai Leong +5

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)…

cs.LG2022★ 56 cited

Cohort comfort models -- Using occupants' similarity to predict personal thermal preference with less data

Matias Quintana, Stefano Schiavon, Federico Tartarini +2

We introduce Cohort Comfort Models, a new framework for predicting how new occupants would perceive their thermal environment. Cohort Comfort Models leverage historical data collec…

cs.LG2022★ 53 cited

Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models

Mahmoud Abdelrahman, Clayton Miller

Collecting intensive longitudinal thermal preference data from building occupants is emerging as an innovative means of characterizing the performance of buildings and the people w…