Bidgely and Lumidyne Consulting have released the results of a study conducted to understand how utilities are leveraging smart meter data to optimise their operations.
The 2019 AMI Innovation Study: Utility Perspectives on AMI End Use Disaggregation also looks at demand-side management programme operators are utilising smart meter data in planning their rates.
Some 19 experts from 11 utilities operating in North America have been surveyed to understand utility use of smart meter data.
They revealed that customer data analytics, customer targeting and rate recommendations are the top use cases for smart meter data insights.
Customer targeting has been found the most use case owing to the current priority placed on customer communications and personalisation
One of the utility executives surveyed commented: “The focus is to find loads that are substantial and have the ability to shift consumption through programmes. We want to find loads where energy efficiency has the biggest bang for the buck.”
Amongst the 19 executives from demand-side management operators and load research experts from 11 utilities across the US and Canada surveyed, the majority are leveraging disaggregation of AMI readings to provide large-scale business value in connection with both residential DSM programs and rate design planning and recommendations.
Among the applications for disaggregated AMI data in rate making, the ability to provide customers with rate recommendations was ranked most important.
One of the load researchers said: “I think we’re going to be challenged in the next 2-5 years to greatly expand our rate offerings. We’ll have to go into areas where we have no comfort whatsoever… If we have analytics based on AMI data, it could go a long way to shaping the path forward.”
Bidgely CMO Gautam Aggarwal, reiterated: “Utilities leading the way in the AMI transformation, like those in this research report, understand how applying artificial intelligence and machine learning techniques to customer data can help create a very compelling consumer narrative – through their consumption models, appliances, lifestyle, propensity to buy or engage, demographics and so much more.
“The key is developing deeply accurate analytics and actionable insights from this data and consumers’ energy habits, and then understanding how it can provide new business intelligence for myriad use cases within a utility.”
To request access to the full report, click here…