Top AI Use Cases for Utilities

Find out how AI enables a software-defined smart grid that enhances resiliency, reduces costs, and accelerates decarbonization.

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What’s Included in This Industry Brief

Modern power grids are unable to manage the complexity of distributed clean energy resources, such as solar, wind, home batteries, and electric vehicles. In this industry brief, learn how edge AI can help utilities forecast energy demand, dynamically manage supply, identify real-time outage risks, and improve customer experiences.

Call Center Virtual Assistants

AI can reduce call times by automatically transcribing calls, addressing common questions, tracking trending issues, and raising proper escalations.

Real-Time Demand Forecasting

Edge AI uses historical patterns with real-time grid data to dynamically predict energy demand, allocate supply, and optimize bidirectional power flow.

Predictive Grid
Maintenance

Computer vision automates transmission and distribution line maintenance, while digital twins simulate power plans to help reduce unplanned downtimes.

Secure Grid-Edge Operations

Intelligent video analytics and AI-enhanced cybersecurity help prevent unauthorized access—both physical and digital—at substations and power plants.

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