MPC combined Reinforcement Learning for minimizing CSO: 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 tilgængelighed14 nov. 2024
ForlagZENODO

Citationsformater