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Table 1

Overview of methodology for stormwater system control scenarios

MethodValveTraining/optimizationControl policyTesting
RBC system Controllable valve at 0 m N/A Fixed for simulation duration Test on 2010–2019 data 
MPC system Controllable valve at 0 m Online optimization with genetic algorithm Adjusted valve positions for specified time horizon based on modeled scenarios and objective functions Test on first week of August 2019 data (due to computational cost) 
RL system Controllable valve at 0 m Offline training on August 2019 data for 197,000 control steps Learned policy relating states to actions Test on 2010–2019 data 
Passive system Fixed weir at 0.61 m N/A N/A Test on 2010–2019 data 
MethodValveTraining/optimizationControl policyTesting
RBC system Controllable valve at 0 m N/A Fixed for simulation duration Test on 2010–2019 data 
MPC system Controllable valve at 0 m Online optimization with genetic algorithm Adjusted valve positions for specified time horizon based on modeled scenarios and objective functions Test on first week of August 2019 data (due to computational cost) 
RL system Controllable valve at 0 m Offline training on August 2019 data for 197,000 control steps Learned policy relating states to actions Test on 2010–2019 data 
Passive system Fixed weir at 0.61 m N/A N/A Test on 2010–2019 data 
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