Publications

X Search: title X Term: BTUS Modeling and Simulation

2020

Hong, Tianzhen, Zhe Wang, Xuan Luo, and Wanni Zhang."State-of-the-art on research and applications of machine learning in the building life cycle."Energy and Buildings 212 (2020) 109831. DOI
Kim, Donghun, Yeonjin Bea, Sehyun Yun, and James E Braun."A methodology for generating reduced-order models for large-scale buildings using the Krylov subspace method."Journal of Building Performance Simulation 13.4 (2020) 419 - 429. DOI
Perera, A T. D, Vahid M Nik, Deliang Chen, Jean-Louis Scartezzini, and Tianzhen Hong."Quantifying the impacts of climate change and extreme climate events on energy systems."Nature Energy 5.2 (2020) 150 - 159. DOI
Gehbauer, Christoph, David Blum, Taoning Wang, and Eleanor S Lee."An assessment of the load modifying potential of model predictive controlled dynamic facades within the California context."Energy and Buildings 210 (2020) 109762. DOI
Chen, Chien-fei, Tianzhen Hong, Gerardo Zarazua de Rubens, Selin Yilmaz, Karol Bandurski, Zsófia Deme Bélafi, Marilena De Simone, Mateus Vinícius Bavaresco, Yu Wang, Pei-ling Liu, Verena M Barthelmes, Jacqueline Adams, Simona D'Oca, and Łukasz Przybylski."Culture, conformity, and carbon? A multi-country analysis of heating and cooling practices in office buildings."Energy Research & Social Science 61 (2020) 101344. DOI
Hong, Tianzhen, Jared Langevin, Na Luo, and Kaiyu Sun."Energy and Behaviour Developing quantitative insights on building occupant behaviour: Supporting modelling tools and datasets." (2020) 283 - 319. DOI
Gehbauer, Christoph, David Blum, Taoning Wang, and Eleanor S Lee."Integrated Dynamic Facade Control with an Agent-based Architecture for Commercial Buildings." (2020).
Wang, Zhe, and Tianzhen Hong."Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States."Renewable and Sustainable Energy Reviews 119 (2020) 109593. DOI
Hong, Tianzhen, Chien-Fei Chen, Zhe Wang, and Xiaojing Xu."Linking human-building interactions in shared offices with personality traits."Building and Environment 170 (2020) 106602. DOI
Méndez, Juana Isabel, Omar Mata, Pedro Ponce, Alan K Meier, Therese Peffer, and Arturo Molina."Studies in Systems, Decision and ControlChallenges and Trends in Multimodal Fall Detection for HealthcareMulti-sensor System, Gamification, and Artificial Intelligence for Benefit Elderly People." 273 (2020) 207 - 235. DOI
Li, Han, Tianzhen Hong, Sang Hoon Lee, and Marina Sofos."System-level key performance indicators for building performance evaluation."Energy and Buildings 209 (2020) 109703. DOI
Hong, Tianzhen, Yixing Chen, Xuan Luo, Na Luo, and Sang Hoon Lee."Ten questions on urban building energy modeling."Building and Environment 168 (2020) 106508. DOI
Prakash, Anand, Samir Touzani, Mariam Kiran, Shreya Agarwal, Marco Pritoni, and Jessica Granderson."Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact."RLEM'20: Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (2020). DOI
Sanchez, Lino, Paul A Mathew, Sang Hoon Lee, and Travis Walter."Developing and Evaluating a Metric for Office Building Energy Resilience During a Power Outage."2020 Summer Study on Energy Efficiency in Buildings (2020).
Wetter, Michael, Kyle Benne, Antoine Gautier, Thierry S Nouidui, Agnes Ramle, Amir Roth, Hubertus Tummescheit, Stuart Mentzer, and Christian Winther."Lifting the Garage Door on Spawn, an Open-Source BEM-Controls Engine.."2020 BPAC & Simbuild (2020) 518-525.

2019

Wang, Jingyi, Zhe Wang, Ding Zhou, and Kaiyu Sun."Key issues and novel optimization approaches of industrial waste heat recovery in district heating systems."Energy 188 (2019) 116005. DOI
Hong, Tianzhen, Yujie Xu, Kaiyu Sun, Wanni Zhang, and Xuan Luo."Visualizing Urban Microclimate and Quantifying its Impact on Building Energy Use in San Francisco."the 1st ACM International WorkshopProceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys'19 (2019). DOI
Wetter, Michael, Antoine Gautier, Milica Grahovac, and Jianjun Hu."Verification of Control Sequences within OpenBuildingControl."16th IBPSA Conference (2019).
Langevin, Jared, Chioke B Harris, and Janet L Reyna."Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050."Joule (2019). DOI
Karaguzel, Omer T, Mohammed Elshambakey, Yimin Zhu, and Tianzhen Hong."OPEN COMPUTING INFRASTRUCTURE FOR SHARING DATA ANALYTICS TO SUPPORT BUILDING ENERGY SIMULATIONS." (2019).
Singh, Reshma, Baptiste Ravache, and Mary Ann Piette."Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions." (2019).
Xu, Xiaodong, Wei Wang, Tianzhen Hong, and Jiayu Chen."Incorporating machine learning with building network analysis to predict multi-building energy use."Energy and Buildings 186 (2019) 80 - 97. DOI
Wang, Zhe, Tianzhen Hong, Mary Ann Piette, and Marco Pritoni."Inferring occupant counts from Wi-Fi data in buildings through machine learning."Building and Environment 158 (2019) 281 - 294. DOI
Hong, Tianzhen, and Sang Hoon Lee."Integrating physics-based models with sensor data: An inverse modeling approach."Building and Environment 154 (2019) 23 - 31. DOI
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette."Predicting plug loads with occupant count data through a deep learning approach."Energy 181 (2019) 29 - 42. DOI