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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
- 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
Other Artificial Intelligence News
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How are redefinitions of reliability and resiliency impacting utilities and their customers?
Exactly how different utility teams and project stakeholders are approaching the integration of multiple systems to enable reliability will be a focus of DTECH Reliability & Resiliency, August 25-27, 2026.
August 07, 2026
Redefining the utility playbook with PG&E’s Sumeet Singh
In this episode of the Factor This podcast, Sumeet Singh, CEO of Pacific Gas & Electric, details how utility leaders can balance cultural shifts with the economic imperative to maximize underutilized grid capacity and lower customer rates. He breaks down how PG&E processes billions of pieces of data to help predict wildfire risks in advance, and how AI-enabled camera networks can shave critical minutes off emergency response times.
August 03, 2026