Santee Cooper Adopted AI for Weather Modeling

The South Carolina utility partnered with Google Cloud to refine power demand forecasts.

Updated on Sept. 21, 2026 in Forecasts

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South Carolina state-owned utility Santee Cooper has partnered with Google Cloud to leverage AI for more accurate power demand forecasting. AI Illustration. Upload story photo >

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Santee Cooper has integrated Google Cloud AI tools to enhance its weather forecasting capabilities. The utility aims to manage power demand more efficiently across South Carolina through advanced digital modeling.

Why it matters

By improving forecast accuracy, the state-owned utility seeks to protect its $10 billion grid expansion budget. The technology helps minimize financial risks associated with temperature-related spot market fluctuations.

Google cloud technology provides weather forecasts with lead times of up to 15 days, helping the utility mitigate costs caused by temperature deviations. The system can generate complex ensemble weather scenarios in under one minute.

The players

Santee Cooper

This is a state-owned electric utility provider based in South Carolina that maintains a multi-billion dollar grid infrastructure.

Google

This global technology company provides cloud computing and artificial intelligence solutions utilized for complex data modeling.

The details

Santee Cooper is deploying Gemini Enterprise and WeatherNext 2 software to process data across its previously isolated infrastructure systems. These models are integrated into existing planning programs to simulate various climate conditions for better grid management.

Timeline

  1. Santee Cooper detailed the new partnership initiative in September 2026.

Seasonal Patterns

The adoption of predictive AI tools aligns with the evolving regulatory push for grid modernization under the South Carolina Energy Independence and Sustainable Construction Act of 2007. This investment marks a departure from traditional, reactive utility modeling toward proactive, data-driven resource planning.

While the project aims to stabilize costs, residents will see the primary benefits through improved grid reliability during volatile weather events. These AI-driven simulations are designed to preempt power demand spikes that can lead to service disruptions for South Carolina households.

The takeaway

Predictive AI allows utilities to adjust operations in under a minute to accommodate rapid changes in weather. Integrating these tools helps protect ratepayers from the high costs of energy spot market volatility.

Further reading

Learn more about the latest climate projections and technological updates in South Carolina Forecasts.

Source note: This article includes information reported by T&D World.

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