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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