Use Case: Optimizing Energy Trading with Machine Learning

Utilities need to accurately forecast pricing for whole sales and retail markets to provide competitive offerings. 

Machine learning solutions allow utilities to move beyond the traditional approach to offer better pricing, customized experiences to customers, and optimization of production schedules. Discover how machine learning is optimizing energy trading.

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Whitepaper: Neuroevolution Under the Hood
Whitepaper: Neuroevolution Under the Hood

Neuroevolution amplifies a data scientist's work by enabling more effective model building, providing the a...

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Use Case: Improving Grid Reliability and Resiliency
Use Case: Improving Grid Reliability and Resiliency

The utility sector has already benefited from the use of machine learning by implementing predictive mainte...