Part 1: Tabletop Exercise: Debate (2:15PM-3:00PM)
Attendees will be split into two groups where they will work together to draft up an argument, for vs. against, to defend an important analytics topic or situation. Each group will have 20 minutes to work collaboratively to draft their argument and select a presenter(s) from within their group, and then each group will have 10 minutes to share their views (a fast paced 40 minutes).

Be prepared to exercise your innovative thinking and come with an open mind, as you may be purposefully put on the "for" team when you are actually "against" it and vice versa to help you think constructively to promote further development and advancement. Ultimately, we want to help you meet more people during this timeframe, take part in an interesting, informative, and collaborative activity, and most importantly to have some fun. Join the Grid Analytics Community on Tuesday, October 18, 2022 at UA Week in San Diego to participate in a debate. Attendees will be split into two groups where they will work together to draft up an argument, for vs. against, to defend an important analytics topic or situation. Each group will have 20 minutes to work collaboratively to draft their argument and select a presenter(s) from within their group, and then each group will have 10 minutes to share their views (a fast paced 40 minutes). Be prepared to exercise your innovative thinking and come with an open mind, as you may be purposefully put on the "for" team when you are actually "against" it and vice versa to help you think constructively to promote further development and advancement. Ultimately, we want to help you meet more people during this timeframe, take part in an interesting, informative, and collaborative activity, and most importantly to have some fun. The debate topic for the Grid Analytics Community is "Which provides more value to the business: dashboard analytics vs. machine learning/deep learning?".

Part 2: Outage Prediction Using DA Devices and Fault Sensors (3:00PM-4:00PM)
Join the Grid Analytics Community on Tuesday, October 18, 2022 during UA Week in San Diego, CA for a presentation with Q&A and open discussion on "Outage Prediction Using DA Devices and Fault Sensors " with Tom Mahar, Data Scientist at ComEd.

ComEd has developed an algorithm and visualization tool that finds areas of repeat fault activity for field inspection. Certain faults tend to be repetitive such as improperly tensioned spans that slap together in the wind. By identifying these fault signatures and correcting the issue future outages can be prevented.

Session Takeaways:

• How to identify frequent fault zones
• Tips when trying to identify potential problems and sift through noise
• Know the signs of damage that indicate a problem exists