Digital Energy NETWORK CONNECTIVITY Reduce outage O&M and technical losses, improve customer satisfaction and accelerate ADMS rollout Grid Modernization Starts With Reliable Data KEY OUTCOMES • Reduce outage O&M with a more accurate network model • Improve customer satisfaction by preventing incorrect outage and restoration notifications • Detect hidden unbalanced load and reduce technical losses • Accelerate data readiness for advanced distribution management system (ADMS) implementation • Improve accuracy and reduce future challenges with DERMS programs KEY FEATURES • Analyzes data from OMS, AMI, CIS, and GIS for superior accuracy compared to pure voltage based methods • Error detection and recommended corrections for customer to transformer assignment errors and customer/ transformer phase errors GIS data errors can cause significant operations and maintenance (O&M) waste and prevent electric utilities from realizing the benefits of advanced distribution management solutions and automation programs. Correcting connectivity errors in CIS and GIS typically involves manual, ad-hoc communications between grid operators, GIS technicians and distribution engineering; which is why current processes can’t keep up. Correcting the last 5-15% of connectivity errors—a pre-requisite for many grid modernization programs—is impossible without a modern, data-driven analytic approach. Network Connectivity GE’s Digital Energy Network Connectivity application uses Artificial Intelligence to deliver highly accurate corrections of customer-to-transformer association errors, and transformer and customer phase association errors. The application analyzes data from outage management systems (OMS), advanced metering infrastructure (AMI), customer information systems (CIS) and geospatial information systems (GIS) and can be configured to automatically push corrections i

Digital Energy Network Connectivity Reduce outage O&M and technical losses, improve customer satisfaction and accelerate ADMS rollout DIGITAL ENERGY DATA FABRIC GE’s Grid Analytics solutions run on our Digital Energy Data Fabric, a platform that standardizes the storage and consumption of data across the energy value chain, from centralized power generation to consumption by end users and prosumers. By unifying data on a secure, scalable platform that applies artificial intelligence (AI), machine learning (ML) and Big Data compute capabilities, the Digital Energy Data Fabric enables GE and our...