Case Study

Data Visualization And Machine Learning for a Corporate Renewable Purchaser

Client Type
Corporate renewables
Project Type
Software & data collection
Challenge

In addition to data structuring, a large corporate buyer of renewable energy needed real-time visibility into the performance of their assets, including: production, wholesale market information, and wind forecasts.

Solution

HES built and maintains a database to include necessary information from the projects, including: integration of multiple wind farm developers, power markets around the world, and other third party vendors.

Results

Our customer is able to monitor how their assets are performing in real-time and now have a structured database to develop new Machine Learning applications to further improve the economics of their portfolio.

Using Hyde’s tools they have already increased the value of their 700MW portfolio by 20% – read more here directly from our customer!

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