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: Python Package for Transient flow simulations in water networks
Time serires data mining approach to detect and discover recurrent pressure transient patterns without prior knowledge
This project studies the optimal sensor placement problem for event identification in dynamical systems considering the balances between model accuracy, parsimony and uncertainties
Learning-based approach for state estimation in water distribution systems
Published in Water Research, 2019
This paper proposed a time series data mining method to discover pressure patterns from high-resolution pressure data.
Recommended citation: Xing, L., & Sela, L. (2019). Unsteady pressure patterns discovery from high-frequency sensing in water distribution systems. Water research, 158, 291-300. https://doi.org/10.1016/j.watres.2019.03.051
Published in Water, 2020
This study evaluates the impacts of the projected decrease in residential water demands on the deterioration of the water quality.
Recommended citation: Abokifa, A. A., Xing, L., & Sela, L. (2020). Investigating the Impacts of Water Conservation on Water Quality in Distribution Networks Using an Advection-Dispersion Transport Model. Water, 12(4), 1033. https://doi.org/10.3390/w12041033
Published in Advances in Engineering Software, 2020
This paper contributed the first open-soure and general-purpose Python package for transient simulation in water networks.
Recommended citation: Xing, L., & Sela, L. (2020). Transient simulations in water distribution networks: TSNet python package. Advances in Engineering Software, 149, 102884. https://doi.org/10.1016/j.advengsoft.2020.102884
Published in Applied Energy, 2021
This paper revealed heterogeneity in water and energy consumption patterns of buildings.
Recommended citation: Frankel, M., Xing, L., Chewning, C., & Sela, L. (2021). Water-energy benchmarking and predictive modeling in multi-family residential and non-residential buildings. Applied Energy, 281, 116074. https://doi.org/10.1016/j.apenergy.2020.116074
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Undergraduate course, the University of Texas at Austin, Department of Civil, Architectual, and Environmental Engineering, 2016
Role: Teaching assistant
Semester: Fall 2016, Spring/Summer/Fall 2017, Spring 2018
Undergraduate course, the University of Texas at Austin, Department of Civil, Architectual, and Environmental Engineering, 2018
Role: Teaching assistant
Semester: Spring 2018