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Renewable Energy & Climate AI Strategy: opportunities, use cases & the operating model
AI turns weather uncertainty into bankable output: generation forecasting, PPA and market optimisation, and storage dispatch determine whether renewable assets clear the grid profitably.
Where AI creates value
Generation forecastingWind and solar output prediction by asset
Storage dispatchBattery arbitrage and firming against price signals
Asset performanceTurbine and panel degradation and fault detection
PPA and market optimisationBidding and hedging across energy markets
Grid integrationCurtailment and congestion-aware scheduling
Siting and developmentResource assessment for new project pipelines
Top AI use cases
- Short-term solar and wind forecasting to reduce imbalance penalties
- Battery storage dispatch optimisation against day-ahead and intraday prices
- Drone and vision inspection of panels and turbine blades for faults
- PPA structuring and merchant bidding informed by price forecasts
- Curtailment prediction and congestion-aware generation scheduling
What has to change (operating model)
- Forecast accuracy embedded into PPA terms and market settlement obligations
- Grid-code compliance for AI-driven inverter and dispatch behaviour
- Merchant risk governance as assets shift from subsidised to market exposure
- Data-sharing standards with grid operators for forecasting and balancing
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