Forecast Energy and Power Demand

Solution Idea

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Learn how Microsoft Azure can help accurately forecast spikes in demand for energy products and services to give your company a competitive advantage.

This solution is built on the Azure managed services: Azure Stream Analytics, Event Hubs, Machine Learning Studio, Azure SQL Database, Data Factory and Power BI. These services run in a high-availability environment, patched and supported, allowing you to focus on your solution instead of the environment they run in.

Architecture

Architecture Diagram Download an SVG of this architecture.

Components

  • Azure Stream Analytics: Stream Analytics aggregates energy consumption data in near real-time to write to Power BI.
  • Event Hubs ingests raw energy consumption data and passes it on to Stream Analytics.
  • Machine Learning Studio: Machine Learning forecasts the energy demand of a particular region given the inputs received.
  • Azure SQL Database: SQL Database stores the prediction results received from Azure Machine Learning. These results are then consumed in the Power BI dashboard.
  • Data Factory handles orchestration and scheduling of the hourly model retraining.
  • Power BI visualizes energy consumption data from Stream Analytics as well as predicted energy demand from SQL Database.

Next steps