Client:

Bloomberg

 

Client Problem:

With weather the most frequent driver of short-term movements in the power and gas markets, Bloomberg wanted access to reliable energy forecasts.

 

Solution:

We created solar and wind models that relied on detailed generator location databases to ensure accuracy, and were designed to process and display forecasts (and changes from previous ones) as quickly as possible – ensuring Bloomberg users stayed ahead of the market. After sending out a tender, and judging the proponents on the basis of speed, reliability and accuracy, Bloomberg awarded Digital Engineering a 5-year contract to provide these forecasts.

 

Benefit:

Our model now provides Bloomberg, and all their customers, with direct access to the most accurate, most reliable weather data available.

 

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