Baltimore Gas and Electric Deploys C3 Energy Smart Grid Analytics [Global Data Point]
(Global Data Point Via Acquire Media NewsEdge) The two C3 Energy Smart Grid Analytics™ solutions analyze over 35 billion rows of data from twelve BGE and third-party data sources to provide critical, actionable insight to the BGE revenue protection and grid operational teams, helping these teams to operate more efficiently and effectively. The data sources include MDMS, head end, CIS, work management, EAM, OMS, GIS, CMS, and meter installation vendor systems, among others. The C3 Energy Smart Grid Analytics solutions were deployed on time, on budget, and within full scope, only six months from project initiation.
"BGE team members are enthusiastic about the efficiencies they are already seeing from C3 Energy solutions, meaning greater value to BGE customers in terms of improved service reliability at affordable rates," said A. Christopher Burton, vice president for smart grid and technology, BGE.
BGE serves over 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. C3 Energy and Accenture worked closely with BGE's IT and business teams through the process of integrating, implementing, user testing, and launching the solutions. 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.
"BGE, in the successful implementation of C3 Energy Smart Grid Analytics with Accenture, is helping shape the industry's use of enterprise-scale analytics," said Kelly Gallant, Senior Managing Director, North America Utilities, Accenture. "BGE's executive and technical teams have a clear vision of what they want to achieve."
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.
"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 J. Zico Kolter, Assistant Professor of Computer Science, Carnegie Mellon University. "The machine-learning algorithms then use this data to evolve automatically over time, ensuring the effective resolution of grid operational issues."
"It is an honor to work closely with the thought leaders across Exelon Utilities on their smart grid initiatives," said Ed Abbo, President and CTO, C3 Energy. "The BGE team is motivated, capable, and fast-moving, and it is a pleasure to help them realize their vision of how an information technology-enabled utility can improve its efficiency and effectiveness in the service of its customers."
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