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The Algorithm and the Turbine: How AI Re-Engineers Wind Power Performance

AI-driven platforms have transformed wind farms into intelligent systems that predict turbine failures, optimize performance, and strategically bid energy, boosting reliability and reducing costs across operations and markets.

Photo by Ludovico Ceroseis / Unsplash

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Managing Data Center Uncertainty Part I — The Uncertainty Problem

Managing Data Center Uncertainty Part I — The Uncertainty Problem

AI has broken the grid’s forecasting logic. Data-center demand could double—or stall—by 2028. The problem isn’t prediction, it’s governance. Smarter rules, transparent data, and flexible pricing—not overbuild—will determine how well the grid survives the AI era.

From Reactive Reliability to Dynamic Intelligence: How AI Is Building the Grid We Actually Need

From Reactive Reliability to Dynamic Intelligence: How AI Is Building the Grid We Actually Need

AI is transforming the grid from reactive reliability to dynamic intelligence. As demand surges from data centers and electrification, utilities are deploying AI-driven DERMS, VPPs, and predictive systems to create flexible, resilient power networks built for the AI age.

Powering the Intelligence Age: How Hyperscalers Are Reviving U.S. Nuclear Plants to Fuel AI

Powering the Intelligence Age: How Hyperscalers Are Reviving U.S. Nuclear Plants to Fuel AI

Tech giants are turning to nuclear power to fuel AI. Google, Amazon, and Microsoft are backing reactor restarts and next-gen designs—reviving U.S. plants in Iowa and Pennsylvania to secure 24/7 carbon-free energy and anchor America’s digital infrastructure for the AI era.