How Graph Neural Networks Unlock the Future of Forecasting on The Electric Power Grid

The tech giant’s graph neural network is systematically benchmarked and up to 15% more accurate than traditional methods. Weather forecasts are the foundational layer for any power market participant. They are the basis for any load, solar and wind forecast, which themselves are a key component in price formation. On any horizon, they drive billion-dollar investment and operational decisions every day. Most weather forecasts today are derived from numerical weather prediction

With real-time prices falling, day-ahead participation rates for solar assets have reached 30%, with an average $1.50 per MWh improvement in returns.

How a developer/owner/operator of large renewable generation in California and Texas uses Enertel's Bidding Benchmarks to reduce...