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Best Practices: Beating Unaccounted for Energy with Big Data and Analytics: Baltimore Gas and Electric's Line of Attack

Best Practices: Beating Unaccounted for Energy with Big Data and Analytics: Baltimore Gas and Electric's Line of Attack

This IDC study takes a look at Baltimore Gas and Electric's (BGE) transformational analytics project to reduce unaccounted for energy (UFE). BGE, a subsidiary of Exelon Corporation, provides service to more than 1.2 million electric customers and more than 655,000 natural gas customers in central Maryland in the U.S. Following its deployment of smart meters, BGE carried out a transformational analytics project aimed at reducing UFE. In October 2013, BGE began a 28-week project, teaming up with C3 Energy to leverage its analytics as a service platform. This report analyzes the project, including the approach taken by the two companies, the business value the project generated, and the lessons learned from it.

"Big Data and analytics applied to operational data have the potential to dramatically improve utilities' performance. This BGE story is an excellent example of it in the domain of revenue assurance — a concern common to so many utilities," said Roberta Bigliani, associate vice president and head of EMEA, IDC Energy Insights. "The project is effectively limiting UFE and is enabling BGE to reap major efficiencies and process optimization. The potential of Big Data technology and machine learning is intensively utilized, innovating the way activities are organized and executed."

Please Note: Extended description available upon request.

IDC Energy Insights Opinion
In This Study
IDC Energy Insights Case Study Series
Why This Case Study?
Situation Overview
Company Overview
Business Needs
Management Challenges
The Best Practices
Project Background and Objectives
Solution Description
Selecting the Solution
Implementing the Solution
Business Value
Lessons Learned
Future Outlook
Next Steps
Essential Guidance
Project Impact Assessment
Actions to Consider
Learn More
Related Research
Figure: BGE's Smart Meter Rollout Geographic Approach
Figure: Detecting Energy Fraud
Figure: Integrating Multiple Data Sources
Figure: BGE's Analytics for Revenue Assurance: Project Impact Assessment

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