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Author Title Type [ Year(Asc)]
2020
Azar, E. , O'Brien, W. , Carlucci, S. , Hong, T. , Sonta, A. , Kim, J. , Andargie, M. S. , et al. (2020). Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications. Energy and Buildings, 224. Retrieved from https://doi.org/10.1016/j.enbuild.2020.110292
2019
Kim, J. , Bauman, F. , Raftery, P. , Arens, E. , Zhang, H. , Fierro, G. , Andersen, M. , et al. (2019). Occupant comfort and behavior: High-resolution data from a 6-month field study of personal comfort systems with 37 real office workers. Building and Environment, 148, 348-360. Retrieved from https://doi.org/10.1016/j.buildenv.2018.11.012 qt9vv4z3gg.pdf
2018
Kim, J. . (2018). Advancing comfort technology and analytics to personalize thermal experience in the built environment. Dept. of Architecture, UC Berkeley. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=1182575387411839698&btnI=1&hl=en qt58m331fr.pdf
Jia, R. , Jin, B. , Jin, M. , Zhou, Y. , Konstantakopoulos, I. C. , Zou, H. , Kim, J. , et al. (2018). Design automation for smart building systems. Proceedings of the IEEE, 106(9), 1680-1699. Retrieved from https://doi.org/10.1109/JPROC.2018.2856932 qt54r6027g.pdf
Kim, J. , Schiavon, S. , & Brager, G. . (2018). Personal comfort models – A new paradigm in thermal comfort for occupant-centric environmental control. Building and Environment, 132, 114-124. Retrieved from https://doi.org/10.1016/j.buildenv.2018.01.023 qt18d174zs.pdf
2017
Kim, J. , Zhou, Y. , Schiavon, S. , Raftery, P. , & Brager, G. . (2017). Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning. Building and Environment, 129, 96-106. Retrieved from https://doi.org/10.1016/j.buildenv.2017.12.011 qt54n6b7m3.pdf
2016
Zhao, P. , Peffer, T. , Narayanamurthy, R. , Fierro, G. , Raftery, P. , Kaam, S. , & Kim, J. . (2016). Getting into the zone: how the internet of things can improve energy efficiency and demand response in a commercial building. 2016 ACEE Summer Study on Energy Efficiency in Buildings. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=1549879750169830149&btnI=1&hl=en qt5bm711zk.pdf
Peffer, T. , Pritoni, M. , Fierro, G. , Kaam, S. , Kim, J. , & Raftery, P. . (2016). Writing controls sequences for buildings: from HVAC industry enclave to hacker’s weekend project. 2016 ACEE Summer Study on Energy Efficiency in Buildings. Retrieved from https://escholarship.org/content/qt3671b82b/qt3671b82b.pdf qt3671b82b.pdf
2015
Andersen, M. P. , Fierro, G. , Kumar, S. , Chen, M. , Truong, L. , Kim, J. , Arens, E. A. , et al. (2015). Well-connected microzones for increased building efficiency and occupant comfort. 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments. Retrieved from https://doi.org/10.1145/2821650.2830312 qt7710g5cb.pdf
2014
Schetrit, O. , Kim, J. , Yin, R. , & Kiliccote, S. . (2014). Effects of Granular Control on Customers’ Perspective and Behavior with Automated Demand Response Systems. In 2014 ACEE Summer Study on Energy Efficiency in Buildings. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=5637755435687393624&btnI=1&hl=en effects_of_granular_control_on_customers_perspective_and_behavior_with_automated_demand_response_systems.pdf
2013
Kim, J. Jihyun, Kiliccote, S. , & Yin, R. . (2013). Automated Demand Response Technologies and Demonstration in New York City using OpenADR. U.S. Department of Energy Office of Scientific and Technical Information. Lawrence Berkeley National Laboratory. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=7848692629114446579&btnI=1&hl=en automated_demand_response_technologies_and_demonstration_in_new_york_city_using_openadr.pdf
Kim, J. Jihyun, Yin, R. , & Kiliccote, S. . (2013). Automated Price and Demand Response Demonstration for Large Customers in New York City using OpenADR. In International Conference for Enhanced Building Operations. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=14090558336326680630&btnI=1&hl=en qt1w36r2z4.pdf
2012
Kim, J. Jihyun, & Kiliccote, S. . (2012). Price Responsive Demand in New York Wholesale Electricity Market using OpenADR. U.S. Department of Energy Office of Scientific and Technical Information. Lawrence Berkeley National Laboratory. Retrieved from https://doi.org/10.2172/1223011 price_responsive_demand_in_new_york_wholesale_electricity_market.pdf