August 31st, 2021
1 - 2 PM CST
Advanced Metering Infrastructure (AMI) can get you a lot of great data, but what's the best way for small utilities to use it to make conclusions about their customers' behavior and rate classes?
Since 2016, Algona Municipal Utilities and Iowa State University’s Electric Power Research Center have collaborated to create a tool which summarizes very large AMI data sets into smaller, organized files with summary results, exporting analyses as tables and graphs. The latest version of the tool, which incorporates machine-learning and clustering techniques into its design, doesn’t just help define customer rate classes. The tool can set minimum demand definitions and identify customers whose usage may differ from their assigned rate class, offering a small utility the opportunity to reassign or even redesign rate classes as needed. It puts power back in the hands of small public power utilities by allowing them to check the accuracy of AMI analysis provided by billing and meter data management contractors.
During this webinar, researchers from ISU will share their work making in-house AMI analysis easier than ever through their ongoing partnership with Algona Municipal Utilities and the DEED Program. DEED members can check out this project's DEED Project Library page for more information on the tool.
- Any public power system which gathers AMI or SCADA data.
- John Bilsten, General Manager, Algona Municipal Utilities
- Zhaoyu Wang, Associate Professor of Electrical and Computer Engineering, Iowa State University
- Anne Kimber, Director of the ISU Electric Power Research Center
- Shahnawaz Siddiqui, Graduate Student in Electrical and Computer Engineering
You can register for this webinar here: https://www.publicpower.org/event/deed-webinar-ami-insights-all