Urban energy use modeling methods and tools: A review and an outlook N Abbasabadi, M Ashayeri Building and Environment 61, 106270, 2019 | 181 | 2019 |
An integrated data-driven framework for urban energy use modeling (UEUM) N Abbasabadi, M Ashayeri, R Azari, B Stephens, M Heidarinejad Applied energy 253, 113550, 2019 | 80 | 2019 |
Predicting intraurban PM2. 5 concentrations using enhanced machine learning approaches and incorporating human activity patterns M Ashayeri, N Abbasabadi, M Heidarinejad, B Stephens Environmental Research 196 (110423), 2021 | 25 | 2021 |
A framework for integrated energy and exposure to ambient pollution (iEnEx) assessment toward low-carbon, healthy, and equitable cities M Ashayeri, N Abbasabadi Sustainable Cities and Society, 2022 | 13 | 2022 |
Unraveling energy justice in NYC urban buildings through social media sentiment analysis and transformer deep learning M Ashayeri, N Abbasabadi Energy and Buildings 306, 113914, 2024 | 4 | 2024 |
An Optimization Framework And Tool For Context-Sensitive Solar-Driven Design Using Cellular Automata (SDCA) S Luitjohan, M Ashayeri, N Abbasabadi 2022 Annual Modeling and Simulation Conference (ANNSIM), 593-604, 2022 | 3 | 2022 |
Architectural Research Addressing Societal Challenges Volume 2: Proceedings of the EAAE ARCC 10th International Conference (EAAE ARCC 2016), 15-18 June 2016, Lisbon, Portugal MJRC da Costa, F Roseta, SC da Costa, JP Lages CRC Press, 2017 | 3 | 2017 |
Evaluating Occupant Feedback on Indoor Air Quality Perception During Covid Stay-at-home Using Social Media Data: A Nationwide Study in the US M Ashayeri, S Piri, N Abbasabadi | 2 | 2023 |
Towards an adaptive urbanism beyond hard control: The theories of Johnson and Lefebvre N Abbasabadi, M Ashayeri Jahan Khanemloo Architectural Research Addressing Societal Challenges, The 10th EAAE/ARCC …, 2017 | 2 | 2017 |
Machine Learning in Urban Building Energy Modeling N Abbasabadi, M Ashayeri Artificial Intelligence in Performance‐Driven Design: Theories, Methods, and …, 2024 | 1 | 2024 |
Socioeconomic determinants of public health and residential building energy use in Chicago N Abbasabadi, M Ashayeri UIA 2021 RIO: 27th World Congress of Architects 2 (978-1-944214-31-9), 707-713, 2021 | 1 | 2021 |
From Tweets to Energy Trends (TwEn): An exploratory framework for machine learning-based forecasting of urban-scale energy behavior leveraging social media data N Abbasabadi, M Ashayeri Energy and Buildings, 114440, 2024 | | 2024 |
A Hybrid Physics‐Based Machine Learning Approach for Integrated Energy and Exposure Modeling M Ashayeri, N Abbasabadi Artificial Intelligence in Performance‐Driven Design: Theories, Methods, and …, 2024 | | 2024 |
Digital Twin for Citywide Energy Modeling and Management N Abbasabadi, M Ashayeri Artificial Intelligence in Performance‐Driven Design: Theories, Methods, and …, 2024 | | 2024 |
Occupant‐Driven Urban Building Energy Efficiency via Ambient Intelligence N Abbasabadi, M Ashayeri Artificial Intelligence in Performance‐Driven Design: Theories, Methods, and …, 2024 | | 2024 |
Decoding Global Indoor Health Perception on Social Media Through NLP and Transformer Deep Learning M Ashayeri Artificial Intelligence in Performance‐Driven Design: Theories, Methods, and …, 2024 | | 2024 |
Digital Twin for Citywide Energy Modeling and N Abbasabadi¹, M Ashayeri Artificial Intelligence in Performance-Driven Design: Theories, Methods, and …, 2024 | | 2024 |
Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools N Abbasabadi, M Ashayeri ISBN: 978-1-394-17206-1, 2024 | | 2024 |
Exploring US Occupant Perception Toward Indoor Air Quality Via Social Media and NLP Analysis M Ashayeri, S Piri, N Abbasabadi Journal of Environmental Science and Public Health 8, 49-58, 2024 | | 2024 |
NVResilience.io: A Web-based Tool for Exploring Natural Ventilation Implications on Community Social and Health Resilience Against Airborne Particles and Viruses M Ashayeri, N Abbasabadi DOI: 10.5281/ZENODO.10725177, 2022 | | 2022 |