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Ting-Yu  Dai
Ting-Yu Dai
在 utexas.edu 的电子邮件经过验证
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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
62023
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling
TY Dai, D Niyogi, Z Nagy
arXiv preprint arXiv:2312.02375, 2023
22023
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
22023
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
12023
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
12021
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
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