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Thursday, April 26, 2012  | 9:00 am - 5:00 pm EDT | 100% Online
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Session Abstract
10:00 - 10:30 am EDT
Meter Data Analytics as a Key to Successful AMI Deployment
It has been widely discussed that AMI produces orders of magnitude more meter data than previous technologies. After deployment, some utilities have in essence ignored the value of additional data and just use the meter data primarily for billing as they always have. However, it is becoming increasingly clear that the data has great value to the entire enterprise, but that it takes systematic analysis to obtain the value. Using Meter Data Analytics (MDA), the value of the meter data has been proven by several utilities in areas such as revenue protection, meter operations, customer care, energy efficiency, distribution planning and operations, and finance. What is not as clear to many is the value of MDA during the AMI deployment. This presentation will explore the value that several utilities are getting from MDA during their AMI deployment, including:
- Isolating real meter or network issues from non-issues by combining the many event flags with usage analytics.
- Identifying meter or network issues that are not indicated by any event flags
- Detecting bypass-theft (i.e. jumper insertion) immediately after installation of AMI
- Identifying pre-AMI meters that are slow or tampered with to pre-empt high-bill complaints after the AMI install
- Monitoring AMI network and meter performance to ensure contract compliance
- Supporting on-going AMI maintenance and root-cause analysis
Note: For quality purposes, this presentation was pre-recorded on April 20, 2012 for initial broadcast during
this V-Summit. The live Q&A discussion on April 26 will begin at 10:40 am EDT and go for approximately 10 minutes.
>> Attend Session
>> Go to Q&A Discussion
Note: At the request of the presenting company, the .PDF for this presentation is not available for download.
Speaker:
Mark Inglis
Chief Scientific Officer
DataRaker
Mark Inglis was formerly a Vice-President at both Nexus and ICF Energy Solutions. Mark designed and developed numerous operating and analytic systems currently in production at energy companies throughout the U.S., Australia, Europe, and Canada. Mark has nearly 30 years of experience in the enegy sector, particularly in the areas of load forecasting, customer response modeling, peak system forecasting, and complex settlement. Mark holds a BA in Math and Economics, as well as an ME in Systems Engineering, both from the University of Virginia.
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