Accepted Publication
Full Paper:
Chowdhury, Shovan et al. "Exploring Building Retrofit Strategies Using AutoBEM Under Future Climate Scenarios.” ASHRAE Building XVI Conference, Clearwater Beach, December 2025
Hang Li, Fengqi Li, Avery Stubbings, Ryan Swart, Shovan Chowdhury, Mukul Tewari, Lloyd Treinish, Francisco Salamanca Palou, Matei Georgescu, Joshua New (2024). “Comparing Micro-Climate Weather Conditions from the Weather Research and Forecasting (WRF) Model with Typical Meteorological Year (TMY) Data for Building Energy Simulations.” Building Simulation Conference 2025, August 24-27, 2025. Brisbane, Australia.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, “Quantifying and Zoning Urban Heat Island Effects Using Unsupervised Machine Learning,” 19th International Conference on Energy Sustainability, July 8-10, 2025, Colorado, USA
Shovan Chowdhury, Fengqi Li, Avery Stubbings, and Joshua R. New, “UrbanScaping: Community Spatial Building Energy Data Visualization & Analytics,” 19th International Conference on Energy Sustainability, July 8-10, 2025, Colorado, USA
Li, Hang et al. "Investigating Building Energy Consumption and CO2 Emission in Phoenix Using AutoBEM and Future Typical Meteorological Year (fTMY) Files.” ASHRAE Annual Conference, Phoenix, June 2025
Chowdhury, Shovan et al. "Impact of Building Characteristics on Energy Demand Profile Forecasting: An Evaluation of Predictive Accuracy and Methods.” ASHRAE Winter Conference, Orlando, February 2025.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Ankur Garg, Santiago Correa, Ian Kaplan, Kevin Bacabac (2024). “Machine Learning for Determining Building Type.” IBPSA-USA SimBuild 2024, Denver, CO, USA. May 21-24, 2024.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New (2023). “Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County.” The 3rd ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities and BuildSys '23: The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Istanbul, Turkey, November 15-16, 2023. DOI: 10.1145/3600100.3626637 Published Link: https://dl.acm.org/doi/10.1145/3600100.3626637
Kudos: https://www.growkudos.com/publications/10.1145%25252F3600100.3626637/reader
Chowdhury, S., Li, F., Stubbings, A., New, J., Garg, A., Correa, S., & Bacabac, K. (2023). Bias correction in urban building energy modeling for Chicago using machine learning. In 2023 Fourth International Conference on Intelligent Data Science.
Ankur Garg, Santiago Correa, Fengqi Li, Shovan Chowdhury, Joshua R. New, Christa Brelsford, Kevin Bacabac, Christian Kunkel, Donnel Baird (2023). "Empirical Validation of UBEM: An Assessment of Bias in Urban Building Energy Modeling for Chicago.” ASHRAE Winter Conference, Chicago, IL, USA. Jan 20-24, 2024.
Poster:
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua New (2024). “Poster: Urban Heat Emission Zone Determination using Unsupervised Machine Learning.” SW-IFL September 2024 All Hands Meeting, Phoenix, Arizona, Sept 25-26, 2024.
New, Joshua R. Fengqi Li, Melissa R Dumas, Shovan Chowdhury, Avery Stubbings (2023). “Poster: Data and energy model for every building in Arizona AutoBEM.” SW-IFL September 2023 All Hands Meeting, Flagstaff, Arizona, Sept 11-12, 2023.
Abstract:
Ryan Swart, Fengqi Li, Avery Stubbings, Shovan Chowdhury, Mukul Tewari, Lloyd Treinish, Joshua New, Francisco Salamanca, Matei Georgescu (2024). “Sensitivity of high spatiotemporal meteorological data in AutoBEM building energy modeling.” The 105th AMS Annual Meeting, January 12-16, 2025, New Orleans, Louisiana.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua New (2024). “A Multi-Scale Framework for Urban Heat Island Analysis: Integrating Building EnergyModeling, Spatial Analytics, and Machine Learning in Maricopa County, Arizona.” AGU24 Washington, D.C., Dec 9-13, 2024.
Fengqi Li, Shovan Chowdhury, Avery Stubbings, Joshua R. New (2023). “Multi-Model Future Typical Meteorological (fTMY) Weather for nearly every US County.” AGU Fall Meeting 2023, San Francisco, CA, USA. Dec 11-15, 2023.
Released Dataset:
Joshua New, Brett Bass, Andy Berres, Nicholas Clinton, Mark Adams, Fengqi Li, Avery Stubbings, and Shovan Chowdhury (2021): Model America: Data and Models for every U.S. Building. Southwest Urban Corridor Integrated Field Laboratory (SW-IFL), ESS-DIVE repository. Dataset. doi:10.15485/2283980 accessed via https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2283980 on 2024-03-12
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). " Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (Cross-Model Version-SSP1-RCP2.6)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10719205, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). " Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (Cross-Model Version-SSP2-RCP4.5)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10719179, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). " Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (Cross-Model Version-SSP3-RCP7.0)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10698922, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2023). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County (Cross-Model version-SSP5-RCP8.5)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10420668, Dec 2023. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (East and South - SSP1-RCP2.6)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10729280, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (West and Midwest - SP1-RCP2.6)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10729278, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (East and South - SSP2-RCP4.5)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10729202, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (West and Midwest - SP2-RCP4.5)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10729224, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (East and South - SSP3-RCP7.0)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10729200, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2024). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County in CONUS (West and Midwest - SP3-RCP7.0)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.10729158, Feb 2024. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2023). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County (East and South – SSP5-RCP8.5)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.8335814, Sept 2023. [Data]
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Deeksha Rastogi, and Shih-Chieh Kao (2023). "Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation for every US County (West and Midwest – SSP5-RCP8.5)." ORNL internal Scientific and Technical Information (STI) report, doi: 10.5281/zenodo.8338548, Sept 2023. [Data]
Submitted Publication
Fengqi Li, Shovan Chowdhury, Avery Stubbings, and Joshua R. New, “AutoBEM: Nation-scale Building Energy Modeling spotlight on Urban Heat Islands” Journal of Building Performance Simulation
Shovan Chowdhury, Fengqi Li, Avery Stubbings, and Joshua R. New, “Future Typical Meteorological (fTMY) Weather Files for Building Energy Simulation for 3281 US Counties” Springer Energy Efficiency
Conference Presentation
Shovan Chowdhury, Fengqi Li, Avery Stubbings, and Joshua R. New “Community Spatial Data Visualization & Analytics – UrbanScape” The Fifteenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, March 9-13, 2025. Lisbon, Portugal
Chowdhury, Shovan et al. "Impact of Building Characteristics on Energy Demand Profile Forecasting: An Evaluation of Predictive Accuracy and Methods.” ASHRAE Winter Conference, Orlando, February 2025.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua New (2024). “A Multi-Scale Framework for Urban Heat Island Analysis: Integrating Building EnergyModeling, Spatial Analytics, and Machine Learning in Maricopa County, Arizona.” AGU24 Washington, D.C., Dec 9-13, 2024.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New, Ankur Garg, Santiago Correa, Ian Kaplan, Kevin Bacabac (2024). “Machine Learning for Determining Building Type.” IBPSA-USA SimBuild 2024, Denver, CO, USA. May 21-24, 2024.
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua R. New (2023). “Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County.” The 3rd ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities and BuildSys '23: The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Istanbul, Turkey, November 15-16, 2023. DOI: 10.1145/3600100.3626637 Published Link: https://dl.acm.org/doi/10.1145/3600100.3626637
Chowdhury, S., Li, F., Stubbings, A., New, J., Garg, A., Correa, S., & Bacabac, K. (2023). Bias correction in urban building energy modeling for Chicago using machine learning. In 2023 Fourth International Conference on Intelligent Data Science.