Minimizing Combined Sewer Overflows with Online Model-Predictive Reinforcement Learning: A Case Study of the Stormwater Tunnel in Denmark

  • Esther Hahyeon Kim (Ophavsmand)
  • Thomas Dyhre Nielsen (Ophavsmand)
  • Mohsen Ghaffari (Ophavsmand)
  • Martijn Goorden (Ophavsmand)
  • Andreas Holck Høeg-Petersen (Aalborg Universitet) (Ophavsmand)
  • Kim Guldstrand Larsen (Ophavsmand)
  • Andrzej Wasowski (Ophavsmand)

Data set

Beskrivelse

This is an artifact that can help reproduce the experimental results represented in the paper "Minimizing Combined Sewer Overflows with Online Model-Predictive Reinforcement Learning". The package contains models such as SWMM model, UPPAAL STRATEGO model, Historical weather data, and python code to run the experiment.
Dato for tilgængelighed1 jun. 2025
ForlagZENODO

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