Title:
W10 Water Environment Federation/The Water Research Foundation: Doing More, with Less—Implementing Machine Learning Process Controls at Water Resource Recovery Facilities
Description:
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 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.
Fees:
WEF Member - $270.00
Non-Member - $300.00
WEF Student Member - $50.00
Non-Member - $270.00Learning Objectives
At the end of the workshop, participants will be able to:
1) Define artificial intelligence (AI) and ML, and the potential applications of ML to process controls at WRRFs.
2) Determine the benefits and costs associated with ML in WRRFs.
3) Describe the steps and resources needed to implement ML process controls.
4) Apply the steps for ML implementation to specific problem scenarios at a/your facility.
PRESENTATIONS
Welcome, Overview, and Introductions
8:30 AM - 8:45 AM
PART 1: Overview of WRF Research Projects and Machine Learning
8:45 AM - 10:00 AM
Networking Break
10:00 AM - 10:30 AM
PART 2: Steps for Implementing Data-Driven Controls
10:30 AM - 12:00 PM
Lunch on Own
12:00 PM - 1:30 PM
PART 3: Toolbox Activity
1:30 PM - 3:00 PM
Networking Break
3:00 PM - 3:30 PM
PART 4: Operations Interface
3:30 PM - 3:50 PM
PART 5: Benefits of Implementing Advanced Controllers
3:50 PM - 4:20 PM
PART 6: Remaining Questions, Double Jeopardy, and Closing Thoughts
4:20 PM - 5:00 PM
Type:
Workshop