September 17, 2019
Kevin Marsh is the President of FlowWorks. In this episode, Kevin discusses the growing role of machine learning in flow forecasting, which involves using historical data and weather models to forecast the impacts of wet weather on water infrastructure. He says that advance notice allows utilities to plan and the public to be alerted about events like combined sewer overflows, and that forecasting will become far more common with the increase in data, internet connectivity, and cloud computing. Kevin discusses how changing weather and climate uncertainty are causing utilities to want to better understand how systems are affected by rain events.
This episode is brought to you by FlowWorks.
Episode #106
Hosted by Travis Loop
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