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...

How bigger data and bigger models deliver better results A large hydro-electric plant benefits from economies of scale. So do machine...

Backtested strategies and how traders can use them How will an incoming windy, cloudy cold front raise net load? How will a line outage...

When predictions are perfect, the decisions are trivial. It follows that any successful optimization will depend largely on the accuracy of the predictions being used.

How graph-based models and transfer learning can improve price forecasts at new nodes with limited or no historical data The sun rises on...

How forecasting algorithms can include upcoming transmission outages to better predict the congestion component of locational marginal...

Profit matters most when evaluating forecasting models The most important part of forecasting is how it improves downstream decision...

How historical forecasts can support developers and independent power producers to evaluate different trading strategies for their...

A simple overview of the power grid, generation technologies and economic dispatch. T he largest machine in the world is the electric...

The evolution of independent system operators in North America The market for electricity for much of the twentieth century was dominated...