Interpretable Time Series Models for Wastewater Modeling in Combined
  Sewer Overflows
Teodor Chiaburu Felix Biessmann
Climate change poses increasingly complex challenges to our society. Extreme
weather events such as floods, wild fires or droughts are becoming more
frequent, spontaneous and difficult to foresee or counteract. In this work we
specifically address the problem of sewage water polluting surface water bodies
after spilling over from rain tanks as a consequence of heavy rain events. We
investigate to what extent state-of-the-art interpretable time series models
can help predict such critical water level points, so that the excess can
promptly be redistributed across the sewage network. Our results indicate that
modern time series models can contribute to better waste water management and
prevention of environmental pollution from sewer systems. All the code and
experiments can be found in our repository:
https://github.com/TeodorChiaburu/RIWWER_TimeSeries.