In the US, Baltimore Gas and Electric Company (BGE) has deployed C3 Energy solutions across its two million meter smart grid network in a bid to improve revenue protection and grid operational teams.

The two C3 Energy smart grid analytics solutions will process 35 billion rows of data from 12 BGE and third-party data sources to provide actionable insight to the BGE revenue protection and grid operational teams.

The data sources include MDMS, head end, CIS, work management, EAM, OMS, GIS, CMS, and meter installation vendor systems, among others.

C3 Revenue Protection identifies load profile anomalies and outliers, while C3 AMI Operations validates the operational functionality and integrity of the automated metering infrastructure (AMI) network, helping the operational team ensure high levels of service reliability for BGE customers. Together, the two solutions reduce instances of unbilled energy at BGE.

J. Zico Kolter, assistant professor of Computer Science, Carnegie Mellon University, said: “The BGE implementation of C3 Energy Smart Grid Analytics is one of the most sophisticated examples of machine learning in power delivery today. The system analyzes data from hundreds of thousands of devices, then generates hundreds of analytic features per device, all in real time.” said

He added: “The machine-learning algorithms then use this data to evolve automatically over time, ensuring the effective resolution of grid operational issues.”

The initial results from the two solutions put BGE on track to achieve its goals for reductions in unbilled energy, which is expected to deliver tens of millions of dollars per year in economic value to BGE and its customers.

BGE serves more than 1.2 million electric customers and more than 650,000 gas customers in a 2,300-square-mile area encompassing Baltimore City and all or part of ten counties in Central Maryland.

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