https://store-images.s-microsoft.com/image/apps.34089.88d9ffa7-a841-4ed0-b468-9de12338fbcb.dcf1a183-19f5-448a-b5a3-ee1be0c8cf16.24229dad-8b2e-4008-ba09-6dc3e21760d8

BSUoS Prediction Service

Elastacloud Limited

BSUoS Prediction Service

Elastacloud Limited

A ML service that predicts the BSUoS fee per settlement period 7days ahead

The Balancing Services Use of System (BSUoS) is a charge that all generators and suppliers of electricity in the UK must pay to the National Grid. Charged per MWh of electricity, produced or supplied, BSUoS fluctuates on half-hourly periods, ranging from average values of £2.50/MWh to as high as £45/MWh. Generators, such as Drax Power Ltd, can generate up to 2000MWh in a single half hour period, so could be liable to pay huge sums of money to the National Grid if they generate at the wrong time. Any party who has a view of the likely BSUoS charge ahead of time can make better decisions with regards their position on the market and optimise their generation portfolio. This is where the BSUoS ML Forecasting Service comes in. Powered by Azure Machine Learning Services and fully automated in Microsoft Azure, this service provides predictions of BSUoS to the user when they need them, allowing them to best position themselves in the market, for the upcoming periods. The service is valuable to electricity generators and suppliers but also to anyone involved in the trading of electricity.
https://store-images.s-microsoft.com/image/apps.31784.88d9ffa7-a841-4ed0-b468-9de12338fbcb.dcf1a183-19f5-448a-b5a3-ee1be0c8cf16.c0dbb2e0-21e8-40f2-9cce-3054f784cc4e
https://store-images.s-microsoft.com/image/apps.31784.88d9ffa7-a841-4ed0-b468-9de12338fbcb.dcf1a183-19f5-448a-b5a3-ee1be0c8cf16.c0dbb2e0-21e8-40f2-9cce-3054f784cc4e
https://store-images.s-microsoft.com/image/apps.24052.88d9ffa7-a841-4ed0-b468-9de12338fbcb.dcf1a183-19f5-448a-b5a3-ee1be0c8cf16.17b9428f-c94c-48d2-b1f3-7e9896fa9be7
https://store-images.s-microsoft.com/image/apps.18563.88d9ffa7-a841-4ed0-b468-9de12338fbcb.dcf1a183-19f5-448a-b5a3-ee1be0c8cf16.403c3333-8835-4ca5-b420-cd9bdccbafbf