Joyce Kim
Joyce Kim
University of Waterloo
Verified email at
Cited by
Cited by
Personal comfort models–A new paradigm in thermal comfort for occupant-centric environmental control
J Kim, S Schiavon, G Brager
Building and Environment 132, 114-124, 2018
Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning
J Kim, Y Zhou, S Schiavon, P Raftery, G Brager
Building and Environment, 2017
Occupant comfort and behavior: High-resolution data from a 6-month field study of personal comfort systems with 37 real office workers
J Kim, F Bauman, P Raftery, E Arens, H Zhang, G Fierro, M Andersen, ...
Building and Environment 148, 348-360, 2019
Design automation for smart building systems
R Jia, B Jin, M Jin, Y Zhou, IC Konstantakopoulos, H Zou, J Kim, D Li, ...
Proceedings of the IEEE 106 (9), 1680-1699, 2018
Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications
E Azar, W O'Brien, S Carlucci, T Hong, A Sonta, J Kim, MS Andargie, ...
Energy and Buildings 224, 110292, 2020
Getting into the zone: how the internet of things can improve energy efficiency and demand response in a commercial building
P Zhao, T Peffer, R Narayanamurthy, G Fierro, P Raftery, S Kaam, J Kim
Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR
JJ Kim, R Yin, S Kiliccote
Presented at the, 2013
Well-connected microzones for increased building efficiency and occupant comfort
MP Andersen, G Fierro, S Kumar, M Chen, L Truong, J Kim, EA Arens, ...
Proceedings of the 2nd ACM International Conference on Embedded Systems for …, 2015
Automated Demand Response Technologies and Demonstration in New York City using OpenADR
JJ Kim, R Yin, S Kiliccote
Writing controls sequences for buildings: from HVAC industry enclave to hacker’s weekend project
T Peffer, M Pritoni, G Fierro, S Kaam, J Kim, P Raftery
Price Responsive Demand in New York Wholesale Electricity Market using OpenADR
JJ Kim, S Kiliccote
Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models
T Zhang, J Gu, O Ardakanian, J Kim
Energy and Buildings 264, 112068, 2022
Advancing comfort technology and analytics to personalize thermal experience in the built environment
J Kim
University of California, Berkeley, 2019
An Integrated Framework for the Design of Climate-Resilient Buildings in Canada
J Kim, E Kim, K Kapsis, D Lacroix
Proceedings of the Canadian Society of Civil Engineering Annual Conference …, 2023
Cohort comfort models--Using occupants' similarity to predict personal thermal preference with less data
M Quintana, S Schiavon, F Tartarini, J Kim, C Miller
arXiv preprint arXiv:2208.03078, 2022
Personal Comfort Systems: Using Internet of Things for Optimization
J Kim
Buildings & Cities, 2022
A guideline to document occupant behavior models for advanced building controls
B Dong, R Markovic, S Carlucci, Y Liu, A Wagner, A Liguori, C van Treeck, ...
Building and Environment, 109195, 2022
Application of Automated Price and Demand Response for Large Customers in New York
JJ Kim, R Yin, S Kiliccote
Automated Diagnostics and Analytics for Buildings, 335-344, 2021
Effects of Granular Control on Customers’ Perspective and Behavior with Automated Demand Response Systems
O Schetrit, J Kim, R Yin, S Kiliccote
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2014
Automated Demand Response Demonstration for Large Customers in New York City using OpenADR
JJ Kim, R Yin, S Kiliccote
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