Perspective

“This transformation involves not only the adoption of new technology but also business process improvements that promote compliance with various departments. Our primary focus is on delivering business outcomes and not just a technology upgrade.”

“Our core is smart meter data. Bidgely is an energy intelligence company that applies AI and machine learning on top of data to decipher that data, demystify the data, and create value for utilities to serve their customers on the grid side.”

“We’re ideating ways to use our digital twin technology with the physical world to help them project forward. As they do work in their system, they’re not just addressing today’s needs, but take seemingly unrelated data and find correlation to build the grid once for the next 20 to 30 years, rather than go back out again.”

“With applications, now we have predictive analytics and AI. It’s popular because the grid used to be one-directional power flow. Now, it’s a multidirectional, dynamic, and complex with increasing renewable and distributed energy resources.”

“Our AI model can make predictions in terms of number of outages of an upcoming storm at over 85% accuracy at a subregional level. We know each tree’s nucleus network. We map the height, health of the tree, propensity of the tree to fail against wind speed and windstorm path: we are able to precisely identify points of failures.”

“We have data around companies that lean into a metaverse/sustainable strategy. It’s more profitable. That has to do with retaining better employees and cost savings because, from onboarding and ongoing training points of view, you don’t have to send people all over the world.”

“Imagine a line person who would go out during a storm facing hurricanes, tornadoes, and operate with hook sticks. Those days are coming to an end. With virtual protection, virtual substations of the future, a lot of those concerns around safety go away.”

“To see electricity diplomacy in action, we invite you to attend EEI’s seventh annual Global Electrification Forum from April 17-21 in Washington, D.C., with the option to attend virtually.”

“Although power industry experience with these technologies is at an early stage in its maturity level, forward-looking utilities are building an Artificial Intelligence and Machine Learning knowledge and experience base through a series of use cases aimed at addressing a wide range of power system challenges.”

“Most scenarios depend in some way on electric heating options to get the world to net zero emissions by 2050.”