June 18 Data Science Community - Using AMI Interval Data to do EV Prediction & Detection

When:  Jun 18, 2024 from 13:00 to 14:00 (CT)

Join the Data Science Community on Tuesday, June 18, 2024 at 1:00 PM CT for a panel discussion on "Using AMI Interval Data to do EV Prediction and Detection" led by the following panelists:

  • Gary Rector, Data Scientist, Salt River Project
  • Ivan Mejorado, Data Scientist, El Paso Electric
  • Patrick Simmons, Data Scientist III, Santee Cooper
  • Manny Alboroto, Business Analytics Engineer, Hawaiian Electric Company
  • Adi Kablar, Data Systems Engineer, Hawaiian Electric Company

Session Description:
Join our panel of utility analytics professionals at the UAI Data Science Community on June 18, 2024 as they delve into the fascinating realm of utilizing Advanced Metering Infrastructure (AMI) Interval Data for Electric Vehicle (EV) prediction and detection. As the energy landscape evolves, understanding the intersection of machine learning and deep learning with AMI data becomes crucial for accurate predictions and detections. This panel discussion aligns with the UAI Data Science Community's commitment to collaborative exploration and knowledge sharing, providing a platform for attendees to learn from industry experts, share their own experiences, and collectively advance the understanding of machine learning and deep learning in the context of AMI data for EV predictions and detection.

Members of the Data Science Community will receive a Microsoft Teams link prior to this meeting. Not a member of this community? UAI Utility Members can register for any of our communities by using our Request To Join link. 


Dial-in Instructions:
Microsoft Teams link will be provided to community members prior to this meeting.


Kevin Praet