FORECASTING WITH MACHINE LEARNING

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

BIDDING
AUTOMATION

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

PORTFOLIO OPTIMIZATION

SigmaOne 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.

TECHNOLOGY INDEPENDENT

SigmaOne is designed to support any asset type and its unique operating constraints, so it works across your entire portfolio.

STOCHASTIC OPTIMIZATION

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

SIMULATION ENVIRONMENT

Experiment with simulated assets and varying risk preferences to make better investment and operating decisions.

MACHINE
LEARNING

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

CLOUD-BASED SERVICE

Runs on proven, scalable cloud infrastructure for rapid, reliable operation across large portfolios and global energy markets.

AUSTRALIA NEM

SigmaOne avoids negative prices in the real-time market

CALIFORNIA ISO

SigmaOne reacts at lightning speed to the duck curve ramp