Download PDF
C3 IoT > Case Studies > Enterprise Data Analytics Platform and AMI Operations
C3 IoT Logo

Enterprise Data Analytics Platform and AMI Operations

Enterprise Data Analytics Platform and AMI Operations - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Application Infrastructure & Middleware - Data Visualization
  • Functional Applications - Remote Monitoring & Control Systems
  • Platform as a Service (PaaS) - Data Management Platforms
  • Sensors - Utility Meters
Applicable Industries
  • Utilities
Applicable Functions
  • Business Operation
Use Cases
  • Advanced Metering Infrastructure
The Challenge

In tandem with its 6 year-long smart meter rollout plan, Con Edison sought to implement Advanced Metering Infrastructure (AMI) operations on top of a comprehensive enterprise data analytics platform for improved operational insight and customer service for its base of more than four million customers. In order to improve customer service and operations across its region, one of the largest integrated utilities in the United States has rolled out the C3 AI Suite and C3 AMI Operations application on AWS. Con Edison’s project objectives were to deliver on the utility’s commitments for presenting customer data, establish AMI operations across 5 million smart meters to ensure operational health, and build a federated data image platform for analytic capabilities. 

The utility’s smart meter deployment will generate between 100 terabytes and 1 petabyte of data per year, so choosing a platform that could scale and continue to perform analytics on an ever-larger data set was vital.

The Customer
Con Edison
About The Customer
Major Electric and Gas Distribution company headquartered in New York City- $13B Annual Revenue- 4.4M Customers in Manhattan and the NYC metro area- 15,000 Employees- 5.3M AMI Meter Deployment
The Solution

To put the foundational enterprise data analytics platform in place, C3.ai and the utility worked together to aggregate two years of data from 13 source systems covering 5 million customer accounts. The joint team then designed requirements for third-part data use and configuration of the basic AMI Operations application. Once the integrated data image was in place, the team configured two machine learning algorithms and 50 analytics to identify deployment and installation issues and determine meter and network health.

The utility can now monitor smart meter deployment to identify any installation or configuration issues. The application also provides real-time status at any level of aggregation—from the individual meter to the overall system—and a prioritized list of meters that require attention. In future phases, the company plans to build on its enterprise data analytics plan for additional customer insight applications and distribution and transmission automation capabilities.

Project Highlights:

- 10 Month Project

- 13 Source Systems

- 5M Customer Accounts

- 180B+ Annual Rows of Data Integrated

Data Collected
Electricity Meters
Operational Impact
  • [Efficiency Improvement - Asset Monitoring]

    2 machine learning algorithms and 50 analytics to identify deployment and installation issues and determine meter and network health.

  • [Data Management - Real Time Data Analysis]

    Real-time status at any level of aggregation—from the individual meter to the overall system—and a prioritized list of meters that require attention. 

Quantitative Benefit

  • $854M+ Identified annual customer benefit

  • 2300+ Deployment issues identified in 4 months

  • 5 External systems accessing unified data

Related Case Studies.

Case Study
Automation of the Oguz-Gabala-Baku water pipeline, Azerbaijan
The Oguz-Gabala-Baku water pipeline project dates back to plans from the 1970’s. Baku’s growth was historically driven by the booming oil industry and required the import of drinking water from outside of the city. Before the construction of the pipeline, some 60 percent of the city’s households received water for only a few hours daily. After completion of the project, 75 percent of the two million Baku residents are now served around the clock with potable water, based on World Health Organization (WHO) standards. The 262-kilometer pipeline requires no pumping station, but uses the altitude differences between the Caucasian mountains and the capital to supply 432,000 m³/d to the Ceyranbatan water reservoir. To the people of Baku, the pipeline is “the most important project not only in 2010, but of the last 20 years.”
Learn more
Case Study
GPRS Mobile Network for Smart Metering
Around the world, the electricity supply industry is turning to ‘smart’ meters to lower costs, reduce emissions and improve the management of customer supplies. Smart meters collect detailed consumption information and using this feedback consumers can better understand their energy usage which in turn enables them to modify their consumption to save money and help to cut carbon emissions. A smart meter can be defined in many ways, but generally includes an element of two-way communication between the household meter and the utility provider to efficiently collect detailed energy usage data. Some implementations include consumer feedback beyond the energy bill to include online web data, SMS text messages or an information display in consumers’ premises. Providing a cost-effective, reliable communications mechanism is one of the most challenging aspects of a smart meter implementation. In New Zealand, the utilities have embraced smart metering and designed cost effective ways for it to be implemented. The New Zealand government has encouraged such a move to smart metering by ensuring the energy legislation is consistent with the delivery of benefits to the consumer while allowing innovation in this area. On the ground, AMS is a leader in the deployment of smart metering and associated services. Several of New Zealand’s energy retailers were looking for smart metering services for their residential and small business customers which will eventually account for over 500,000 meters when the multi-year national deployment program is concluded. To respond to these requirements, AMS needed to put together a solution that included data communications between each meter and the central data collection point and the solution proposed by Vodafone satisfied that requirement.
Learn more
Case Study
British Gas Modernizes its Operations with Innovative Smart Metering Deployment
The UK government has mandated that smart meters are rolled out as standard across Great Britain by end of 2020, and this roll-out is estimated to create £14 billion in net benefits to the UK in consumer energy savings and lower energy generation demand, according to the Oxford Economics report, “The Value of Smart Metering to Great Britain.” While smart-metering systems have been deployed in many countries, the roll-out in Great Britain is unique because it is led by energy retailers, who have responsibility for the Electricity and Gas meters. The decision to have a retailer-led roll out was made by DECC (Department of Energy and Climate Change) to improve customer experience and drive consumer benefits. It has also led to some unique system-level requirements to support the unique local regulatory model.
Learn more
© 2015-2024 IoT ONE Limited | Privacy Policy

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.