C3 IoT Case Studies Driving Network Efficiency and Fraud Detection Efforts

	Driving Network Efficiency and Fraud Detection Efforts C3 IoT

Driving Network Efficiency and Fraud Detection Efforts

C3 IoT

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics Infrastructure as a Service (IaaS)
Applicable Industries	Utilities
Applicable Functions	Business Operation
Use Cases	Advanced Metering Infrastructure Energy Management System
Challenge	Baltimore Gas and Electric Company (BGE) wanted to optimize the deployment and ongoing health of its advanced metering infrastructure (AMI) network and identify and reduce unbilled energy usage. BGE wanted a solution to deliver an annual economic benefit of $20 million. Read More
About Customer	Baltimore Gas and Electric Company (BGE) is a subsidiary of Exelon Corporation and Maryland’s largest gas and electric utility. BGE provides service to more than 1.2 million electric customers and more than 650,000 natural gas customers in central M Read More
Customer Name	Baltimore Gas and Electric Company (BGE) Read More
Solution	BGE launched C3 IoT applications across all two million sensors and devices in its service territory. BGE also deployed C3 AMI Operations to optimize the deployment and ongoing health of its advanced metering infrastructure (AMI) network and C3 Revenue Protection to identify and reduce unbilled energy usage. C3 IoT loaded two years of historical BGE data in a 10 terabyte federated cloud image and configured more than 140 complex analytics and predictive algorithms to match BGE's requirements and available data. Read More Log in to view content
Data Collected	Energy Cost Per Unit, Energy Usage, Equipment Status, Process Parameters Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Infrastructure as a Service (IaaS)

Applicable Industries

Utilities

Applicable Functions

Business Operation

Use Cases

Advanced Metering Infrastructure

Energy Management System

Challenge

Baltimore Gas and Electric Company (BGE) wanted to optimize the deployment and ongoing health of its advanced metering infrastructure (AMI) network and identify and reduce unbilled energy usage. BGE wanted a solution to deliver an annual economic benefit of $20 million.

About Customer

Baltimore Gas and Electric Company (BGE) is a subsidiary of Exelon Corporation and Maryland’s largest gas and electric utility. BGE provides service to more than 1.2 million electric customers and more than 650,000 natural gas customers in central M

Customer Name

Baltimore Gas and Electric Company (BGE)

Solution

BGE launched C3 IoT applications across all two million sensors and devices in its service territory. BGE also deployed C3 AMI Operations to optimize the deployment and ongoing health of its advanced metering infrastructure (AMI) network and C3 Revenue Protection to identify and reduce unbilled energy usage. C3 IoT loaded two years of historical BGE data in a 10 terabyte federated cloud image and configured more than 140 complex analytics and predictive algorithms to match BGE's requirements and available data.

Data Collected

Energy Cost Per Unit, Energy Usage, Equipment Status, Process Parameters

Impact #1	[Efficiency Improvement - Maintenance] Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
Impact #2	[Data Management - Data Analysis] Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
Impact #3	[Efficiency Improvement - Energy] The amount of unbilled energy consumption can be predicted and reduced through predictive analytics.

Impact #1

[Efficiency Improvement - Maintenance]
Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.

Impact #2

[Data Management - Data Analysis]
Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.

Impact #3

[Efficiency Improvement - Energy]
The amount of unbilled energy consumption can be predicted and reduced through predictive analytics.

Benefit #1	C3 Revenue Protection identified non-technical loss cases generating $2.8 million in economic benefit from verified fraud cases.
Benefit #2	C3 AMI Operations identified sensor health issues with a 99% accuracy rate.
Benefit #3	120% of BGE's savings target was achieved.

Benefit #1

C3 Revenue Protection identified non-technical loss cases generating $2.8 million in economic benefit from verified fraud cases.

Benefit #2

C3 AMI Operations identified sensor health issues with a 99% accuracy rate.

Benefit #3

120% of BGE's savings target was achieved.

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Overview

Driving Network Efficiency and Fraud Detection Efforts

Operational Impact

Quantitative Benefit