Optimized bidding starts with forecasting what will happen to prices, supply, and demand. The Bidding App uses machine learning to recognize patterns in vast data and predict the future beyond human capability.

The Bidding App uses rigorous mathematical optimization to identify the revenue-maximizing bid strategy, including energy, ancillary services, and offtake contracts, while following operational constraints.

The Bidding App co-optimizes the bidding of hybrid resources, like solar + storage, and entire fleets of mixed assets, to achieve portfolio objectives.

PROBABILISTIC FORECASTING

Forecasts reflect the varying uncertainty of predictions, which leads to better results and customized control over managing risks.

STOCHASTIC OPTIMIZATION

Optimization incorporates forecast uncertainty and price elasticity, producing rigorous results that withstand market volatility.

MACHINE LEARNING

Only machine learning algorithms, like deep neural networks, can predict the volatility of energy markets—and they’re always improving.