US: GE 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 new portfolio uses data from across transmission and distribution networks to help achieve goals for operational efficiency and includes Storm Readiness, Network Connectivity, and Effective Inertia.
Storm Readiness utilizes high-resolution weather forecasts, outage history, crew response and geographic information system (GIS) data to accurately forecast storm impact and prepare response crews and equipment ahead of impending weather.
GE’s Network Connectivity algorithms use GIS and other operational system data to detect, recommend and correct pervasive errors. Armed with better data, utilities can more efficiently dispatch crews, reduce outage restoration time and avoid incorrect outage notifications to customers.
Effective Inertia gives enhanced visibility into transmission system operations. GE’s Effective Inertia analytic uses ML to facilitate the measurement and forecasting of system inertia and enable a more stable grid.
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.
Source: Inside Big Dana