September 24 Asset Health Analytics Community – Using Machine Learning to Predict Hot Sockets Before They Occur

Join the Asset Health Analytics Community on Wednesday, September 24, 2025 at 2:00 PM CT for a presentation with Q&A/open discussion on, “Using Machine Learning to Predict Hot Sockets Before They Occur” led by Alex Kizhner, Data Scientist, Metering Analytics, Enterprise Analytics & Automation at Ameren.

Session Description:

During this session Ameren will discuss a predictive model that was built to identify electric meters at risk of developing hot sockets, either environmental or mechanical, before triggering a Temperature Threshold Exceeded Event (TTEE). This enables targeted field interventions during normal business hours, reducing emergency truck rolls, improving safety, and optimizing operational efficiency.

*UAI Utility Members can register and access all nine of our Analytics Communities via our Community Page. Not a part of the Asset Health Community and want to join this session? Please use our direct link here to request access. You will find the Teams meeting credentials to the upcoming meeting at the top of the feed on this page. If you have any questions or run into any issues, please contact us at info@utilityanalytics.com.