Recent surveys find that most utilities are not realizing the full benefits in Advanced Metering Infrastructure (AMI) “smart meters” that improve customer experience, lower operational costs, and enhance grid reliability. Instead, similar to the legacy meter data management systems (MDMS), most utilities retained only billing data and either ignored or discarded other smart meter data. It was simply too costly and difficult to integrate into corporate data warehouses.
A modern data system built on AWS unlocks meter data from silos and lets you cost effectively hydrate your Amazon S3 data lake with all your meter data. You can easily add other types of information such as GIS (Geographic Information System), network, demographics, weather, social media, customer and asset data. Using AWS AI/ML and analytics, customers can uncover valuable insights from both real time and historic data, discovering relevant correlations and new applications. AWS customers can use them to detect meter and distribution circuit anomalies, run circuit balancing, thwart energy theft, forecast household level energy use, enhance customer engagement, and more.
AWS MDA 2.0 bridges the Smart Meter ‘Promise to Reality’ Gap
Traditional Meter Data Management Solutions
- Daily meter read which does not support disaggregation and most near real-time operations.
- Usage data for billing retained and interval data and non-usage data removed to save on storage.
- Meter data processed in batches aligned to billing groups providing customers visibility every 24 hours.
- No ability to source data from anything except meters.
AWS Meter Data Analytics Solution
- Meter data collected at sub-hour intervals to support near real-time operational benefits cost effectively.
- Data retained at full resolution enabling prediction of outages, estimation of changing load patterns, and detection of usage anomaly with Machine Learning.
- Meter data processed as received for customer and utility visibility which is key in implementing behavior-based demand response or Volt/VAR Optimization programs.
- Object storage data lake that can absorb nearly any kind of data.
Customers using AWS for smart meter data
How to get started
Step 1: Assess
- Business case definition
- Data strategy & requirements
- Analytics strategy & requirements
- Connectivity & security
- Readiness and maturity assessment
- Infrastructure inputs into planning
- Engagement scope
Step 2: Design
- Guided hands-on workshop (optional)
- Evaluate data and analytics strategy
- Data lake infrastructure review
- Architecture review
- Hands-on experience (optional)
- Reference architecture
- Solution features
- End to end engagement plan
Step 3: Launch
- Security (implement firewalls & data security)
- Establish connectivity
- Implement use cases
- Implemented solution
- Compliance & governance
Step 4: Scale
- Onboard meters in waves
- Test and optimize
- Deployed and tested solution
Visit the AWS Solutions Library so you can learn how to get started with Meter Data Analytics and other solutions for the energy industry.