January 20 Data Science Community – The Application of the Holt–Winters Model for Utility Commodity Forecasting

Join the Data Science Community on Tuesday, January 20, 2026 at 1:00 PM CT for a presentation with Q&A/open discussion around the focus of Holt-Winters (triple exponential smoothing) Forecasting Project led by Ajit Adsule, Senior Quality Consultant at Austin Energy.

 

Session Description:

Austin Energy has neither demand forecasting nor traditional MRP software. We previously used Excel for inventory planning, but we have now collaborated with our internal data science team to build a machine learning application in Tableau.

 

*UAI Utility Members can register and access all nine of our Analytics Communities via our Community Page. Not a part of the Data Science 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.

  • 00

    days

  • 00

    hours

  • 00

    minutes

  • 00

    seconds

Date

Jan 20 2026

Time

ET
2:00 pm - 3:00 pm

Local Time

  • Timezone: America/New_York
  • Date: Jan 20 2026
  • Time: 2:00 pm - 3:00 pm

Location

Virtual

Responses

Your email address will not be published. Required fields are marked *

📢 Submission Received – Thank You!

Thank you for your interest in joining a UAI Community! 🎉

Your request is now under review by a UAI staff member, and you’ll receive a response within 2 business days.

If you have any questions in the meantime, feel free to reach out to us at info@utilityanalytics.com—we’re happy to help!

We appreciate your enthusiasm for being part of the UAI Community and look forward to connecting with you soon!