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  UAI Real Talk Roundtables: Collaborative Exploration of EV Detection and Prediction

  Posted by Sandi Joralemon (Adm) on July 12, 2023 at 4:02 am

  UAI Real Talk Roundtables: Collaborative Exploration of EV Detection and Prediction

  Wednesday, August 9^th at 9am PT / 10am MT / 11am CT / 12pm ET

  You are invited to an unplugged discussion about EV Detection and Prediction strategies and insights led by Ben Carls and Tim Krall from Exelon along with Andrew Barrington from Avista.

  Use the iCalendar attachment to download the invite to your calendar.

  Many of our member utilities are developing a strategy to build electric vehicle stations across their service areas.  UAI is hosting an opportunity to talk with your peers and brainstorm solutions on your EV detection and prediction projects. 

  Since this is a conversation and knowledge sharing session, we can assume related topics will come up as we dive into the subject matter, but we’ll use the agenda below to get us started.  These subjects may very well overlap during discussion.

  • How do utilities identify customers who currently have an electric vehicle?
  • What is being done to extrapolate the model to then predict where future EV stations are needed, keeping an equitable distribution across socio-economic neighborhoods.
  • How are utilities training models so they are relevant to a large region?
  • What categories of data are utilities obtaining or purchasing from third parties and what are they doing to test the accuracy of the data, including the validity of survey responses?
  • Are there opportunities for collaborative projects between utilities?

  Meet our discussion leaders:

  

  Ben Carls joined ComEd as a data scientist in 2016 after having performed fundamental physics research at Fermi National Accelerator Lab. At ComEd, Ben focused on customer and smart meter data science topics including machine learning models for identifying failing smart meters. In 2019, Ben moved from ComEd to Exelon Utilities to broaden his activities for all Exelon operating companies. Projects include improving estimated times of restoration for outages and using data science techniques to identify areas of improvement for customer communication channels. Ben was promoted to manager of data science at Exelon in 2022, continuing his focus on customer-related data science.

  

  Tim Krall is currently Director of Customer Analytics for Exelon Utilities. In this position, he is responsible for collaborating with business leaders and experts across Exelon to develop and deploy an overall Customer analytics strategy and platform. Tim’s background working for over 20 years in various positions across Exelon provides him with a unique expertise across the industry. Before joining Exelon Utilities in 2017, Tim worked as Director of Market Initiatives and Analysis where he focused on strategic development, analysis and project management for GenCo and Utility related initiatives. Prior to that, he spent time with PECO focused on project management and analysis of Customer initiatives. Tim spent the previous 13 years working on the commercial side of the industry, with experience as an energy trader, portfolio manager and manager of various analytics and operational functions including market fundamentals and transmission analysis. Tim holds a bachelor’s degree in Meteorology from Penn State.

  

  Andrew Barrington joined Avista Corporation in 2022 as a Products and Services Manager with direct responsibilities encompassing Unplanned Outages, Energy Management Tools, and Billing & Payments, ensuring the seamless delivery of high-quality services to Avista’s valued customers. 

  ________________________________________________________________________________

  Microsoft Teams meeting

  Join on your computer, mobile app or room device

  Click here to join the meeting

  Meeting ID: 227 335 403 522
  Passcode: Yu5SHX

  But there’s more!

  Grid Analytics Community Conversation: Data Dive: Accelerating EV User Detection through Collaborative Model Development

  Tuesday, July 18, 2023

  Join us for an insightful Community Conversation as we share the outcomes of our companywide “Data Dive”, a hackathon-style event by SDG&E to leverage machine learning and smart meter data for detecting electric vehicle (EV) users. This unique initiative was born out of the need to centralize internal data science expertise and foster collaboration, revealing valuable lessons about overcoming silos within our organization.

   

  In the first part of the session, we will highlight the significance of this project by addressing the pressing business need for clean transportation data analytics and reporting and how an AI-driven solution can enable informed decision-making and insights. We will discuss some of the technical logistics required to build a bridge of collaboration across different business units. Finally, we will share the technical solution that emerged from our collaborative efforts, showcasing a cloud-based approach to identify residential customers charging EVs at home using interval smart meter data.

   

  Throughout this presentation, we will discuss the challenges we encountered attempting such an event for the first time, including areas where technology served as a bottleneck. We will share our insights into the potential of data dive hackathons for driving innovation and building a culture around data science. 

  Grid Analytics Community Conversation: EVs and Grid Analytics: Driving the Future Together

  **In Person Only** on October 31, 2023, at #UA Week 2023!  in Orlando, FL.

  Join us for an engaging session featuring small group breakout discussions and a collective sharing of insights, as we explore two pivotal topics shaping the future of grid analytics. In the first topic, “EVs and Grid Analytics: Driving the Future Together,” participants will delve into the synergistic relationship between electric vehicles and grid analytics, discussing strategies to optimize charging infrastructure, manage load variability, and unlock the full potential of electric mobility within the energy ecosystem.

  ——————————
  Sincerely,

  Sandi Joralemon
  Sr. Research Analyst
  Utility Analytics Institute
  sjoralemon@utilityanalytics.com
  830.832.5042
  ——————————

  Sandi Joralemon (Adm) replied 1 year, 4 months ago 1 Member · 0 Replies
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