Safe, secure management and orchestration of the distribution grid
Achieve network-level optimization with the power of artificial intelligence and machine learningRead the press release
Predictive and prescriptive insights to transform your operations
GE’s Digital Energy application portfolio combines GE’s power domain expertise with artificial intelligence (AI) and machine learning (ML) to deliver predictive and prescriptive insights. These applications leverage our industry-leading analytics library and wrap around your existing infrastructure for fast time-to-value.
"GE Digital is heavily vested in supporting customers with industry leading solutions to accelerate the Energy Transition while making the electric grid more secure and resilient. We see their Grid Analytics portfolio as clear evidence of the vision and innovation necessary to address the challenges of transforming operations, improving network efficiency and reliability while reducing cost."
Vasanth Krishnan, Senior Analyst, Frost & Sullivan
As both a maker of Power Generators, and an industrial software developer, GE is uniquely positioned to deal with the complexity of deploying renewables into the largest industrial system ever built by mankind: The Grid. The Grid Software team at GE Digital is building the analytics and software necessary to handle the growing volume of variable renewable generation. Grid Analytics from GE Digital is designed to forecast system inertia, predict the impact of weather events, and reduce operations and maintenance outages.
Learn more about the future of the grid and the technologies that will take utilities from a reactive mode, to a proactive system where they can anticipate trouble before it occurs.
Reduce the cost and complexity associated with vegetation management, while improving risk management and productivity.
Predictive storm planning reduces crew costs while improving safety and customer satisfaction.
Extreme weather is on the rise. The number of named storms in North America has grown from 17 in 2017 to 30 just three years later in 2020. Those storms bring injuries and fatalities, business and travel disruptions, flooding and property damage, and power outages. Utilities looking to reduce the impact of severe weather events must shift from restoration to preparation. Read our blog and learn how machine learning and grid analytics can help you get your operations ready to weather these storms.
Increase speed of implementation, harmonize data across your network and reduce total cost of ownership and risk
About your network, shared across the enterprise
Flexible, scalable platform enables continuous integration and deployment
GE Digital Energy's software now delivers an intuitive, predictive, and dynamic user interface (UI) and user experience (UX) to enhance overall situational awareness.