Drax Power required a data science solution to generate accurate predictions of fluctuations in the Balancing Service Use of System (BSUoS) charge.
Elastacloud deployed a version of our data analytics platform to ingest the relevant data and develop a working model that could predict future movements of the BSUoS to a high level of accuracy.
Our experts created a database to which predictions could be delivered, and built an API that could be used by Drax Power’s energy trading team. In time, our predictions were integrated into their own trading platform dashboards.
When it became clear that the model delivered valuable data to Drax Power, it invited us to build a service that could make predictions on a daily basis.
Elastacloud enabled Drax Power to transform its business with the help of artificial intelligence and our data analytics platform.
Over the three years during which we operated our solution on behalf of the client, it saved Draw Power several million pounds.
“The machine learning model and forecasting platform has meant we can now reduce costs by minimising generation in the high BSUoS Charge price periods.”
Drax Power is a UK-based renewable energy company. It operates across four sites in England and Scotland and is the largest supplier of renewable electricity to businesses in the UK.
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