[Leslie Cook (Adm)]

Hi Sarah,

I saw your note and wanted to recommend you join us for the May 24, 2023 UAI Asset Health Analytics Community Conversation. I copied the session details below where @Bashar from Entergy will be presenting on this topic. I also recommend reaching out to Bashar to discuss. 

If you are not part of the Asset Health Analytics Community, submit a request to join to be a part of the group and receive the meeting invite at https://uaievents.wufoo.com/forms/request-to-join-uai-communities/.

Wednesday, May 24, 2023

Bashar Kellow Manager, Business Analytics, Business Data & Insights

Entergy Services, Inc.

Predicting Asset Failure

Presentation with Q&A/open discussion

With a major focus on customer satisfaction and utilizing the investment Entergy made in Smart Grid, this session will demonstrate how the use of AMI meter data can help predict failure of distribution transformers, plan better for their replacement, and reduce outage minutes and overtime. During this session, Entergy will demonstrate their Transformer Failure Prediction Tool, the business process, and the preliminary business value since the release of this product.

Thanks!

     Leslie

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Leslie Cook
Membership, Engagement, & Training Manager
Utility Analytics Institute (UAI)
719-203-8650, lcook@utilityanalytics.com
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Original Message:
Sent: 04-18-2023 09:14
From: Sarah Green
Subject: Transformer Outage Prediction Model

Hi all!

Consumers Energy is looking into utilizing data sources such as AMI meter Data, historical outage data, and other SCADA enabled LVD line devices to develop an algorithm/model to predict when a service or transformer level outage is going to happen in the future. 

We would love to connect with any companies that have already done this to learn more about what datasets you found useful, the granularity of the data utilized within your models, and any other lessons learned along the way. 

Please let me know if you would be available to have a conversation! 

Thanks!

Sarah

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Sarah Green
Director Operations Analytics
Consumers Energy
Jackson MI
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