Scalable Home Energy Analytics
EEme, an Analytics-as-a-Service spin-out from Carnegie Mellon University, strives to bring the scalable analytics element to the demand-side management (DSM) industry through deploying its proprietary virtual home energy audit analytics that require no user input or new hardware.
We just completed the largest-of-its-kind 3rd party validation on our AMI-based appliance-level load disaggregation analytics. Please download the study and share your thoughts at email@example.com.
Research at Carnegie Mellon University translated into home improvement magic at your fingertips. EEme is a proven platform that leverages big data to produce energy efficiency insights.
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State-of-the-art algorithms turn raw smart meter data into appliance-level intelligence.
The consumer solution requires no additional hardware or user configuration. Engage customers with savings potential opportunities, actionable demand-response insights, and customized energy efficiency tips. The user-friendly platform leads households to educated EE decisions in less than one minute.
The implementer solution helps DSM program administrators scan through their customer-base, with respect to predictive metrics of interest, and identify, quantify, and target EE sweet spots.