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.
no code implementations • 21 Feb 2023 • Brooke E. Mason, Jacquelyn Schmidt, Branko Kerkez
Storms are used to parameterize a dynamical system model of GI drawdown dynamics.
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.
1 code implementation • 9 Sep 2018 • Matthew Bartos, Branko Kerkez
The need to attenuate hydrograph peaks is central to the design of stormwater and flood control systems.
Physics and Society
no code implementations • 28 Sep 2015 • John Lipor, Brandon Wong, Donald Scavia, Branko Kerkez, Laura Balzano
Adaptive sampling theory has shown that, with proper assumptions on the signal class, algorithms exist to reconstruct a signal in $\mathbb{R}^{d}$ with an optimal number of samples.