Through the MyMeter application we can now provide detailed insights down to the appliance level with simple AMI meter data.
Saint Paul, Minnesota (PRWEB) March 29, 2017
Technology companies EEme and Accelerated Innovations today announced that they will be teaming up to provide customers with unparalleled home energy analytics. Using EEme’s Machine Learning platform, a state-of-the-art technology that turns raw smart meter data into actionable insights, MyMeter users will be able to see exactly how much each appliance is affecting their home’s energy use and bill.
Relying on a comprehensive and dynamic appliance signature library, EEme’s Machine Learning platform identifies which devices in the home are using energy. From there, EEme’s scalable load disaggregation technology allows the data to be visually displayed, a feature which further demystifies a home’s energy bill. Because the more a one knows, the more one can do, this information empowers customers to take their home energy use into their own hands. MyMeter customers can now make conscious decisions about their energy use appliance-by-appliance. They don’t need any new hardware, data, or training. It only requires existing raw smart meter data and a zip code. EEme’s technology continually feeds from academic and non-academic proprietary sources.
“The addition of the EEme analytics to the MyMeter platform takes customer engagement and energy use feedback to the next level. We can now provide detailed insights down to the appliance level with simple AMI meter data. Utilities and co-ops can also use this data for target marketing and segmentation, which can drive greater participation in energy efficiency and demand-side management programs at a much lower cost. It’s a definite win/win for customers as well as utilities,” says Josh Headlee, Accelerated Innovations’ CEO and co-founder of MyMeter.
“Thanks to the mass adoption of AMI meters installed across almost two-thirds of U.S households, we are observing a paradigm shift in the demand-side management (DSM) industry that has historically relied on month-over-month or peer comparison of whole-home monthly energy billing data. MyMeter’s enhanced user experience combined with EEme’s AMI-based disaggregation technology will create novel operational and energy efficiencies across the DSM ecosystem leveraging appliance-level actionable insights." asserts Dr. Enes Hosgor, CEO and Founder of EEme.
Built in to this partnership are proven results. EEme has conducted the industry’s only comprehensive and publicly available 3rd party validation study for load disaggregation.
Consumer Benefits – Customers can begin to enjoy immediately the benefits of a seamless one-stop experience where their whole-home energy use and appliance-by-appliance energy use is disaggregated and easy to interpret, making it easy to determine what actions can be taken to save energy and money on their bill.
Utility Provider Benefits – Utilities with active MyMeter subscriptions can begin leveraging the benefits of this partnership right away. The EEme technology acts as a “behind-the-scene” Analytics-as-a-Service company where existing demand-side management platforms are supported as well as stakeholders. Utilities will also realize benefits in the areas of: Program Design, Targeting and Implementation, Evaluation, Measurement, and Verification, Customer Presentment, Non-DSM Utility Operations, Load forecasting, Customer Service, and Appliance Diagnostics.
About Accelerated Innovations
Accelerated Innovations, headquartered in St. Paul, Minnesota, is the team behind the MyMeter energy engagement platform. MyMeter is bridge leveraging utility smart metering infrastructure to give businesses and home owners greater control over their energy use. MyMeter's utility partners realize verified energy savings and improved customer care through greater opportunities to engage, communicate, and empower customers with tools for energy use feedback, alerts, analytics and prepaid billing.
EEme, a Pittsburgh-based leading energy analytics company spun out of Carnegie Mellon University, is a scalable machine learning platform that converts raw smart meter data into appliance-level and equipment-level insights using proprietary algorithms. EEme’s proven Disaggregation-as-a-Service™ (DaaS) technology provides demand-side management stakeholders with appliance-level insights leveraging existing smart meter data and without relying on new hardware investments or user intervention.