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Upcoming January (2024) Community Conversation
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Upcoming January (2024) Community Conversation
Hello Customer Analytics Community Members,
Happy New Year and I hope all is well! We are one week away from our January 9 (2024) Customer Analytics Community Conversation and want to get you excited about the session taking place. On Tuesday, January 9 at 11:00 AM CT, we’ll be joined by Hemanya Tyagi, Senior Data Scientist at National Grid who will be leading a discussion on, “Gas Meter Anomaly Detection Using Monthly Usage Data at National Grid.”
Learn more about this session and our speaker below!
Session Description:
Revenue loss is a big challenge faced by the utility industry. Meter issues like stopped meters, ERT (Encoder Receiver Transmitter) issues, and theft of service are major contributors to revenue loss. Each of these types of meter issue creates a pattern in customer usage data, and identifying these patterns is key to proactively identifying problematic meters for investigation . It is well known that machine learning can be used on smart meter or AMI data to identify usage anomalies. However, identifying anomalies using monthly data is a less well studied problem.At National Grid, we developed the RADAR (Revenue Anomaly Detection and Response) tool, which applies machine learning to monthly billing data to identify usage anomalies. This session focuses on demonstrating how we can find meter anomalies using less frequently (weekly or monthly) captured usage data. We will discuss how we can apply machine learning and statistical methods to capture trends, changes in patterns, and outliers in the customer usage data, as well as the implementation challenges associated with deploying such a model.Key Takeaways:• Meter issues can lead to revenue loss for utility companies.• Statistical and machine learning algorithms capture changes in usage patterns, thus assisting us in identifying meter issues or theft of service, even with monthly billing dataSpeaker: Hemanya Tyagi, Senior Data Scientist (National Grid)
Hemanya is a Senior Data Scientist at National Grid. As a data scientist in the utility industry, he has worked on topics such as Safety Analytics, Forecasting, and Anomaly Detection. With a background in computer science and business analytics, he likes to build and automate machine learning models.
________________________________________________________________________________________________________________________________________________________________A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, January 9 at 11:00 AM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.Thanks and I look forward to connecting next week!——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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