Building Technology and Urban Systems Division
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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Development of a standard capture efficiency test method for residential kitchen ventilation." Science and Technology for the Built Environment 24 (2018) 176–187.
, , and . "A performance evaluation framework for building fault detection and diagnosis algorithms." Energy and Buildings 192 (2019) 84–92.
, , , , , and . "Split-pane electrochromic window control based on an embedded photometric device with real-time daylighting computing." Building and Environment 161 (2019) 106229.
, , , , and . "Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs." IEEE PowerTech Milan 2019. 2019.
, , , and . "Evaluation of Methods to Assess the Uncertainty in Estimated Energy Savings." Energy and Buildings 193 (2019).
, , , and . "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 . "Building analytics and monitoring-based commissioning: industry practice, costs, and savings." Energy Efficiency (2019).
, , , , 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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