The EPM is based on four criteria: consumption, how much power a customer uses and from which sources; efficiency, how a consumer compares to neighboring customers; engagement, whether or not they frequently try, or are willing to try strategies the utility suggests such as buying a more efficient refrigerator or shutting off the air conditioner during peak hours; and predictability, whether or not the consumer is consistent in their energy consumption.
GridGlo’s chief executive, Isais Sudit, explains, “We’re using a deeper level of analytics, though, and handling a greater amount of data — 1,300 criteria to start — than any other companies in the energy space. Also, we focus strictly on helping the utilities. We don’t have a consumer-facing app or product. It is our aim to help the utilities offer what works best for their business, and their market to the energy consumer. Our technology can tell a utility if their customers are married, have kids, living in a 5,000 square foot home, if and when they installed solar panels, if they drive a hybrid electric vehicle, if they had the same job for the last ten years, haven’t moved in that time and more. You put those components together and you begin to build an understanding of how this is all related to energy consumption. When that happens, your relationships with customers improve, and your business becomes more predictable.”
The goal is to provide consumers with energy data to motivate them to use electricity more efficiently, or to use electricity from renewable and clean sources more often.
GridGlo is a cleantech company specializing in the aggregation and “fusion” of smart meter data with consumer data to provide solutions for utility companies and application developers to realizing the full value of smart meter data.