This week on The Interchange: why more data scientists are saying machine learning and data mining will be critical climate tools.by Stephen Lacey
By strategically implementing edge intelligence into distribution networks, utilities will not only assure the reliability, efficiency and safety of the grid, they will also stake out an enviable competitive position as they march down the path to the transactive energy marketplace of the future. This white paper highlights how the evolution of the distribution model, the rise of prosumers, limited grid visibility and a shifting data paradigm has paved the way for distributed intelligence.
How many segments does your utility use to categorize its residential customers? If the answer is not the same as the number of residential customers that it serves, there is still work to be done.
Through AI-powered hyper-personalization, Bidgely's patented processes provide insights about the habits and consumption patterns for a "segment of one," allowing utilities to effortlessly own the relationship with their customer and while maximizing the value of assets like distributed energy resources, electric vehicle infrastructure, and targeted load shaping. Download this white paper to learn more about the options available today for utilities, and the capabilities for the future as AI enables increasingly deeper insights.