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Travis Adrian Dantzer
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Travis Adrian Dantzer
  • Home
  • Papers
  • Talks
  • modpods
  • Media
  • Music
  • More
    • Home
    • Papers
    • Talks
    • modpods
    • Media
    • Music

Teamwork without talking: distributed system estimates maintain approximately centralized control of smart urban drainage systems during communications outages

  • Smart urban drainage systems could become a liability during communications failures

  • Decentralized control is resilient, but may be less optimal than centralized

  • Approximately centralized control enabled by distributed system estimates

  • Centralized control maintained in a case study when reporting every 7 days

Tunable linear feedback control of urban drainage systems using models defined purely from data* 

  • Connectivity is automatically identified among water level sensors and valves solely using response data.

  • Inferred connectivity and response data are used to train linear feedback controllers.

  • Controllers built purely from data prevent flooding and greatly improve water treatment.


*First North American Winner of the Poul Harremoes Award for best urban drainage paper by a young author at the International Conference on Urban Drainage

Automated Hydrologic Forecasting Using Open-Source Sensors: Predicting Stream Depths Across 200,000 Km2

  • Sensors spanning 200k km^2 built, deployed, and maintained by a small research group

  • Predictions automatically generated for sensors using only measurements and location

  • Efficient models train and predict for large networks using only a consumer laptop

  • Full architecture for predict-and-control sensor networks provided open-source

Generating interpretable rainfall-runoff models automatically from data 

  • Process-based models are not designed to ingest large amounts of real-time data.

  • Machine learning approaches can automatically ingest data to make predictions, but lack interpretability.

  • A new open-source method automatically creates interpretable models, as validated with data from nearly 400 catchments.

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