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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.

 

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Darwin Demo: Predicting Customer Churn with Artificial Intelligence
Darwin Demo: Predicting Customer Churn with Artificial Intelligence

Predicting customer churn using machine learning. Darwin. Automated Model Building. Get Insights Faster.

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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...