TSNet
: Python Package for Transient flow simulations in water networks 
Posts by Collection
portfolio
Transient Event Detection and Pattern Discovry
Time serires data mining approach to detect and discover recurrent pressure transient patterns without prior knowledge 
Model-based Sensor Placement under Uncertainties
This project studies the optimal sensor placement problem for event identification in dynamical systems considering the balances between model accuracy, parsimony and uncertainties 
Graph Neural Networks for State Estimation
Learning-based approach for state estimation in water distribution systems 
publications
Unsteady Pressure Patterns Discovery from High-frequency Sensing 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
Investigating the Impacts of Water Conservation on Water Quality in Distribution Networks Using an Advection-Dispersion Transport Model
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
Transient simulations in water distribution networks: TSNet python package
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
Water-energy Benchmarking and Predictive Modeling in Multi-family Residential and Non-residential Buildings
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
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
TSNET: Transient Simulation in Water Networks.
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
teaching
Elementary Fluid Mechanics
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
- Designed laboratory demonstrations to illustrate the concepts covered in lectures.
- Directed 120-min lab sessions for 15 students three times a week.
Probability/Statistics for Civil Engineers
Undergraduate course, the University of Texas at Austin, Department of Civil, Architectual, and Environmental Engineering, 2018
Role: Teaching assistant
Semester: Spring 2018
- Prepared and delivered 45-min lecture during class laboratory sessions to discuss how to use statistics and probability to solve practical problem as civil engineers.
- Held office hours for further discussions.