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Found 5 papers, 3 papers with code
Identification of stormwater control strategies and their associated uncertainties using Bayesian Optimization
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.
Measuring city-scale green infrastructure drawdown dynamics using internet-connected sensors in Detroit
Storms are used to parameterize a dynamical system model of GI drawdown dynamics.
pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms
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.
Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures
The need to attenuate hydrograph peaks is central to the design of stormwater and flood control systems.
Physics and Society
Distance-Penalized Active Learning Using Quantile Search
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.
