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Artificial intelligence is reshaping the energy landscape—and electric utilities are uniquely positioned to utilize generative AI and large language models (LLMs) to drive innovation, improve resilience, and enhance customer experience. This topic explores how AI-driven technologies, including machine learning, data collection and, data analytics, are optimizing operations, improving decision-making, and increasing efficiency in power distribution and management.
Core Concepts Discussed
- Predictive analytics
- Machine learning (ML)
- Deep learning
- Pattern recognition for grid events
- AI-assisted decision support
- Automation of routine tasks
- Real-time anomaly detection
- Natural language processing (NLP) for customer support
- Generative AI for data synthesis
- AI-driven planning and forecasting
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Other Artificial Intelligence News
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The mobile technology undermining utility workflows, efficiency, and data quality
In the utilities industry, the proliferation of point-solution-style field apps is an unwelcome triple threat, undermining three critical areas: effective workflows, process efficiency, and data quality, writes contributor Jen Campbell of TRC Companies.
Aug 20, 2026
Midwestern US utilities focus on restoration after severe storms and near-100 MPH winds leave hundreds of thousands in the dark
Severe storms this week knocked out power for hundreds of thousands of customers, mostly in the Midwest, and utilities are still scrambling response teams to fix downed utility poles and lines affected by fallen trees after winds of up to 99 miles-per-hour ripped through the region.
Aug 13, 2026