Identification of stormwater control strategies and their associated uncertainties using Bayesian Optimization

1 code implementation • 29 May 2023 • Abhiram Mullapudi, Branko Kerkez

This Bayesian optimization-based stormwater control methodology is an off-the-shelf control approach that can be applied to control any stormwater network as long we have access to the rainfall predictions, and there exists a model for simulating the behavior of the stormwater network.

Bayesian Optimization Computational Efficiency

pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms

1 code implementation • 23 Oct 2021 • Sara P. Rimer, Abhiram Mullapudi, Sara C. Troutman, Gregory Ewing, Benjamin D. Bowes, Aaron A. Akin, Jeffrey Sadler, Ruben Kertesz, Bryant McDonnell, Luis Montestruque, Jon Hathaway, Jonathan L. Goodall, Branko Kerkez

In an effort to make smart stormwater control research more methodical, efficient, and accessible, we present pystorms, a Python-based simulation sandbox that facilitates the quantitative evaluation and comparison of control strategies.