BTUS Modeling and Simulation
Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States." Renewable and Sustainable Energy Reviews (2019) 109593.
, and . "Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering." Building and Environment 162 (2019) 106280.
, , , , , and . "Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China." Sustainability 11.13 (2019) 3683.
, , , , , and . "Validation of an inverse model of zone air heat balance." Building and Environment 161 (2019) 106232.
, and . "Assessment of occupant-behavior-based indoor air quality and its impacts on human exposure risk: A case study based on the wildfires in Northern California." Science of The Total Environment 686 (2019) 1251–1261.
, , , , , and . "An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data." Energy and Buildings 198 (2019) 228–242.
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The Role of International Partnerships in Delivering Low- Energy Building Design: A Case Study of the Singapore Scientific Planning Process." Sustainable Cities and Society 14.1 (2014).
, , and . "Prototyping the BOPTEST Framework for Simulation-Based Testing of Advanced Control Strategies in Buildings." IBPSA Building Simulation 2019. Rome, Italy, 2019.
, , , , , , , , , , , , and . "CLIMATE-SPECIFIC MODELING AND ANALYSIS FOR BEST-PRACTICE INDIAN OFFICE BUILDINGS." BS2015: 14th Conference of International Building Performance Simulation Association 2015.
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MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings." Proceedings of the 15th IBPSA Conference: Building Simulation 2017. San Francisco, 2017.
, and . "Predicting plug loads with occupant count data through a deep learning approach." Energy 181 (2019) 29–42.
, , and . "Inferring occupant counts from Wi-Fi data in buildings through machine learning." Building and Environment 158 (2019) 281–294.
, , , and . "Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm." Applied Energy 248 (2019) 217–230.
, , , , , and . "A novel approach for selecting typical hot-year (THY) weather data." Applied Energy 242 (2019) 1634–1648.
, , , , and . "Integrating physics-based models with sensor data: An inverse modeling approach." Building and Environment 154 (2019) 23–31.
, and . "Data fusion in predicting internal heat gains for office buildings through a deep learning approach." Applied Energy 240 (2019) 386–398.
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