GridOS is the first grid orchestration software portfolio to bring together an innovative platform, intelligent application suite, and expert partner ecosystem.
The electrical grid is more exposed to cyber threats because of the increase in connected technology, convergence of IT/OT, cloud services, and mobile workforces. Networks will have to protect against millions of endpoints and Zero Trust is the security model that scales and protects.
The grid has reached an inflection point. Decarbonization and electrification have introduced new complexities and unpredictability to the grid, with demand for renewable sources of energy, the proliferation of millions of distributed energy resources (DERs) and an increase in threats from severe weather events to cyber attacks. To deliver clean energy and proactively address these complexities across the grid, utilities need an end-to-end software portfolio/solution that can break down silos between transmission, distribution, and grid endpoints to improve grid orchestration.
That’s where GE’s GridOS Orchestration Software can help. With a modern architecture that brings together energy data, network modeling, and AI-driven analytics across the grid to power a suite of composable applications from GE, utilities, and partners.
A common distribution and transmission model to enable a true digital twin for electric grids while delivering network-level optimization with advanced analytics powered by artificial intelligence and machine learning.
Enable your grid to connect, see, control, and optimize both front and behind-the-meter distributed energy resources (DERs) alongside traditional grid components.
Read some of the latest information about our solutions
Speak with a utility software expert about how Grid Software solutions can enable your digital utility journey. Call us at 1-833-690-5552.
*Data source from Annual Electric Power Industry Report, Form EIA-861, October 2022, results based on utilities in the United States that have 1.25 million customers or more. Reliability data reflects average SAIDI and SAIFI with MEDs.