Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters TY Dai, P Radhakrishnan, K Nweye, R Estrada, D Niyogi, Z Nagy Computational Urban Science 3 (1), 20, 2023 | 6 | 2023 |
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling TY Dai, D Niyogi, Z Nagy arXiv preprint arXiv:2312.02375, 2023 | 2 | 2023 |
A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling TY Dai, AD Dilsiz, D Niyogi, Z Nagy Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 2 | 2023 |
UTwin: A digital twin of the UT Austin campus C Lin, TY Dai, AD Dilsiz, D Crawley, D Niyogi, Z Nagy Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 1 | 2023 |
pyBL: An open source Python package for stochastic high-resolution rainfall modelling based upon a Bartlett Lewis Rectangular Pulse model LP Wang, TY Dai, YT He, CC Chou, C Onof EGU General Assembly Conference Abstracts, EGU21-8557, 2021 | 1 | 2021 |
Modelling rainfall with a Bartlett-Lewis process: pyBL (v1. 0.0), a Python software package and an application with short records CL Wei, PC Chen, CY Tseng, TY Dai, YT Ho, CC Chou, C Onof, LP Wang EGUsphere 2024, 1-21, 2024 | | 2024 |
pyBL: an open source Python package for fine-scale rainfall modelling with short records based upon a Bartlett Lewis model LP Wang, CL Wei, PC Chen, CY Tseng, TY Dai, YT Ho, CC Chou, C Onof EGU24, 2024 | | 2024 |
Unsupervised estimation of residential electricity outages from aggregated meter data P Radhakrishnan, K Nweye, TY Dai, Z Nagy Building Simulation 2023 18, 1015-1022, 2023 | | 2023 |
Generating High-Resolution PM2. 5 using a Two-stage Machine Learning Approach with Low-Cost Air Quality Sensors and Satellite Observations TY Dai, A Sayeed, NNM Tran, P Gupta, D Niyogi, P Doraiswamy, Z Nagy AGU Fall Meeting Abstracts 2022, A16A-07, 2022 | | 2022 |
Modelling high-resolution rainfall extremes in a changing climate TY Dai, LP Wang EGU General Assembly Conference Abstracts, EGU21-2436, 2021 | | 2021 |