With a sharper understanding of the way individual homes and businesses use energy, utilities are better positioned to personalize the customer experience to customers' specific needs and situations. Load curve archetypes help them do exactly that. Through machine learning, load curve archetypes are able to cluster customers based upon underlying patterns in their energy consumption.
With the insight provided by these archetypes, utilities can create customer segments on-the-fly. And by clearly identifying segments of customers that exhibit a high potential to shift their peak load (e.g. the "late afternoon peakers" or electric vehicle owners), utilities can target relevant offers that encourage off-peak shifts — in a way that brings big benefits for both utilities and their customers.
Smart meters offer great insight, but not everyone has one yet. In the United States, about 43 percent of customers have smart meters. Internationally, many deployments are just getting started.
With Opower 5.5: Flex, that’s not a problem. We've developed an algorithm that helps unlock the power of the smart grid for all customers — even those without a smart meter.
Non-AMI disaggregation decodes household usage and sorts it by major end-uses, whether it be heating, cooling, or other appliances. These insights are then combined with behavioral science techniques to deliver meaningful communications and messaging to customers that help them understand what is driving their energy use.
It was possible to refine and release this analytic with confidence thanks to the vast, diverse set of metering and household data in Opower's databases — over 50 million households worth.
Utilities are looking to put data analytics like load curve archetypes and non-AMI disaggregation to work by creating more personalized experiences for their customers. And with a new tool that offers visual insight into their customers’ specific needs, now they can.
Opower’s Visual Segmentation 2.0 tool gives utilities the intelligence they need to effortlessly send personalized and relevant communications to their customers.
With visual segmentation, utility stakeholders can easily identify groups of customers for targeted communications.
One new, key feature of the Visual Segmentation tool is dynamic enrollment.
Consider, for example, customers who have recently moved or frequently contact their utility call center. With the new automatic enrollment capability, new movers and frequent callers are automatically provided with tailored and timely communications that respond to their specific situation. This meets customer expectations while also dramatically reducing costs and time associated with the segmentation revisions utilities would have to do otherwise.
We’re excited to help empower utilities with the intelligence, personalization, and flexibility they need to better engage their customers.