GridGlo Transforms Smart Grid Application Development with Launch of Industry-First Data Fusion Platform
Company Lands
Introduces New Applications for Utilities
GridGlo’s new cloud-based, platform-as-a-service (PaaS) solution aggregates petabytes of advanced metering infrastructure (AMI) data and analyzes it by applying proprietary algorithms and advanced data fusion processes. Data fusion is the science of combining disparate sources of data to develop inferences and continually refine them, and GridGlo is the first to leverage this approach to derive novel insights from energy consumption data. GridGlo enriches usage data with consumer behavioral, demographic and premises-specific information, providing new ways for utilities to drive customer engagement and forecast, segment and monetize their market opportunities.
One of the first applications GridGlo has developed with this approach is the Energy People Meter (EPM), a FICO-like score for energy consumers. An EPM score is a real-time digital fingerprint of a customer’s energy behavior. EPM scores range from 1 to 1000, with a higher score reflecting a user who consumes energy efficiently, has predictable consumption patterns, and is actively improving his or her energy consumption behavior.
GridGlo and its utility partners are also testing a number of other applications, such as a forecasting tool to reliably predict demand on an individual-premise basis and a demand response scenario builder to predict the impact of future demand response events. In addition, GridGlo is testing a risk management tool for identifying potential abandonment, energy theft, and consumer financial health.
“The smart grid today is like the wireless industry of the early 2000s – a market of great latent potential nearing an inflection point,” said
Added
GridGlo brings together an experienced management team led by
About GridGlo
GridGlo® is a private company providing insights into energy consumption. Based in
About CUBRC
CUBRC is a nationally recognized leader in data aggregation and data fusion techniques. As a not-for-profit (501(c)3) research and development corporation based in
for GridGlo
[email protected]
Source: GridGlo


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