Predictive analytics utilize data to combat complex pressures on the power industry
GE recently announced the availability of three new grid analytics that combine domain expertise with artificial intelligence (AI) and machine learning (ML) to tackle pressing challenges in electric grid operations. The analytics use data from across transmission and distribution networks to help achieve goals for operational efficiency. The portfolio includes:
Steven Martin, acting CEO for GE Digital and chief digital officer for GE Power said, “The energy industry today is leveraging a small fraction of their operational data. Our grid analytics enable utilities to use more of that data and orchestrate their networks and the workers who operate them in ways previously unimagined – not only for current processes, but also for future unforeseen scenarios.”
Brian Hurst, VP and chief analytics officer for Exelon Utilities, an early adopter of GE’s new grid analytics added, “When it comes to storm restoration, it will enable the utilities to become more surgical in prepositioning crews in advance of weather events – saving time, money, improving customer satisfaction and enhancing safety for employees. We are just beginning to scratch the surface on the value of analytics, and when we look at Distributed Energy Resources and the Internet of Things, it becomes increasingly important for the future.”
The new grid analytics are connected via GE’s common Digital Energy data fabric. Unifying data on a secure, scalable and user-friendly platform drives efficiencies, allowing data stored in one location to be utilized by many solutions across the energy value chain, from generation to consumption. Users can in turn realize a network-effect of value, where improvements from one application amplify the benefits of another.