Komal Ishaq explores the transformative impact of artificial intelligence (AI) on the electric grid, emphasizing its growing role across generation, transmission, distribution, and EV charging infrastructure. AI is no longer theoretical; it is actively embedded in utility operations, improving efficiency, reliability, and planning capabilities. In generation, AI enhances renewable energy forecasting, with examples like the UK’s National Grid ESO using deep learning to boost solar forecast accuracy by 33%. Utilities such as PG&E and Southern California Edison leverage AI for predictive maintenance and optimized power flow, reducing downtime and deferring costly infrastructure investments.
In transmission and substations, AI-driven computer vision and drone inspections accelerate hazard detection and vegetation management, while edge AI and real-time sensors support wildfire monitoring and automated response. Digital twins and AI-powered simulations allow operators to rapidly model scenarios, helping manage increasing renewable penetration and EV loads. Distribution networks also benefit, with AI enabling load disaggregation, voltage stabilization, and predictive transformer maintenance, ensuring more precise and cost-effective operations.
At the grid edge, AI is revolutionizing EV charging, helping utilities identify EV-owning customers, optimize demand response, and defer infrastructure upgrades. Operational deployments already demonstrate measurable ROI, with AI reducing forecasting errors, improving asset reliability, and enabling real-time decision-making. While some applications remain in pilot or R&D stages, the evidence points to a paradigm shift: AI is moving from experimental projects into core utility workflows, unlocking potential annual savings of up to $110 billion globally. Ishaq concludes that domain-specific AI, trained on high-resolution operational data, is key to creating a resilient, adaptive, and predictive energy grid.
Key elements of a successful service organization include having a skilled, engineering-driven technical team capable of on-site and off-site diagnostics and repairs, and access to the right equipment and tools, from oil filtration systems to high-voltage test equipment. Operational management plays a vital role in project delivery, requiring tight coordination, milestone tracking, and strong communication with clients. Importantly, the article stresses that marketing and sales for service businesses must focus on showcasing team experience and field capabilities rather than branding products alone. With demand for transformer refurbishment on the rise, Hassan and Chris conclude that organizations that align their technical expertise, operations, and customer relationships can position themselves for sustained growth in a rapidly evolving power landscape.
Follow this link to learn more: How AI Is Reinventing the Grid, One Algorithm at a Time
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