Selected Publications
Journals
Wang, T., Reinhart, C.F., Ang, Y.Q. (2024) sat2shp: Extracting key building features from a single satellite image for urban building energy modelling and beyond. Sustainable Cities and Society, 106054. https://doi.org/10.1016/j.scs.2024.106504
Ang, Y.Q., Berzolla, Z.M., Letellier-Duchesne, S., Reinhart, C.F. (2023) Carbon reduction technology pathways for existing buildings in eight cities. Nature Communications 14, 1689. https://doi.org/10.1038/s41467-023-37131-6
Ang Y.Q., Berzolla, Z.M., Reinhart, C.F. (2023) Smart meter-based archetypes for socioeconomically sensitive urban building energy modeling. Building and Environment 246, 110911. https://doi.org/10.1016/j.buildenv.2023.110991
Ang, Y.Q., Polly, A., Kulkarni, A., Chambi, G.B., et al. (2022) Multi-objective optimization of hybrid renewable energy systems with urban building energy modeling for a prototypical coastal community. Renewable Energy 201 (2022). https://doi.org/10.1016/j.renene.2022.09.126
Ang, Y.Q., Berzolla, Z.M., Letellier-Duchesne, S., Jusiega, V., Reinhart, C.F. (2022) UBEM.io: A web-based framework to rapidly generate urban building energy models for carbon reduction technology pathways. Sustainable Cities and Society 77, 103534. https://doi.org/10.1016/j.scs.2021.103534
Szcześniak, J.T., Ang, Y.Q., Letellier-Duchesne, S., Reinhart, C.F. (2022) A method for using street view imagery to auto-extract window-to-wall ratios and its relevance for urban-level daylighting and energy simulations. Building and Environment 207, 108108. https://doi.org/10.1016/j.buildenv.2021.108108
Ang, Y.Q., Chia, A., Saghafian, S. (2022). Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success. In: Babich, V., Birge, J.R., Hilary, G. (eds) Innovative Technology at the Interface of Finance and Operations. Springer Series in Supply Chain Management, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-75729-8_10
Han, J.M., Ang, Y.Q., Malkawi, A., Samuelson, H.W. (2021) Using recurrent neural networks for localized weather prediction with combined use of public airport data and on-site measurements. Building and Environment 192, 107601. https://doi.org/10.1016/j.buildenv.2021.107601
Ang, Y.Q., Berzolla, Z.M., Reinhart, C.F. (2020) From concept to application: A review of use cases in urban building energy modeling. Applied Energy 279, 115738. https://doi.org/10.1016/j.apenergy.2020.115738
Conferences
Zhu, L.J., Samuelson, H., Wong, NH., Ang, Y.Q. (2024) From Sight to Sensation: Understanding Visual Elementsʼ Impact on Thermal Comfort via Computer Vision and Thermal Voting. The 5th Asia Conference of International Building Performance Simulation Association 2024 (Best Presentation/Paper)
Wu, Y.F., Chen, T.Y., Ang, Y.Q. (2024) Urban solar energy potential in Singapore: a physics-based simulation and deep learning approach. The 5th Asia Conference of International Building Performance Simulation Association 2024
Ang, Y.Q., Ong, L., Teo, J., Gan, J.L. (2024) Crowdsourced Campus Digital Twin for Building Performance Simulation Teaching and Research. The 5th Asia Conference of International Building Performance Simulation Association 2024
Ang, Y.Q., Sparsh. (2024) Thermal comfort interventions and urban building energy modeling for informal settlements - A study in Bihar, India. The 5th Asia Conference of International Building Performance Simulation Association 2024
Ang, Y.Q, Yan, M., Ma, N. (2024) On interpretable and explainable machine learning for urban building energy modeling. In Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy '24). Association for Computing Machinery, New York, NY, USA, 683–686. https://doi.org/10.1145/3632775.3663309