W10 Doing More, with Less—Implementing Machine Learning Process Controls at Water Resource Recovery Facilities

Sunday, October 6
8:30 a.m. – 5:00 p.m.

Presented by the Water Environment Federation/The Water Research Foundation

This workshop will provide participants with an understanding of machine learning and how to implement data-driven process controls at water resource recovery facilities. The workshop will describe each of the steps involved and the resources needed to implement machine learning process controls. Participants will have the opportunity to apply the steps for machine learning implementation to specific problem scenarios through a hands-on activity using an open-access toolbox developed as part of a $2M Department of Energy project. As a precursor to this workshop, participants are not required to but are welcome to take the Saturday digital twins workshop.

Learning Objectives

At the end of the workshop, participants will be able to

• Define artificial intelligence (AI) and ML, and the potential applications of ML to process controls at WRRFs.
• Determine the benefits and costs associated with ML in WRRFs.
• Describe the steps and resources needed to implement ML process controls.
• Apply the steps for ML implementation to specific problem scenarios at a facility.

Workshop Organizers

• Workshop Chair: Jeff Moeller, Water Environment Research Foundation
• Workshop Vice Chair: Bruce Johnson, Jacobs