Solution architecture: Forecast energy and power demand for utilities
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: Stream Analytics, Event Hubs, Machine Learning Studio, 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.
|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.|
|SQL Database stores the prediction results received from the Azure Machine Learning service. These results are then consumed in the Power BI dashboard.|
|Data Factory handles orchestration and scheduling of the hourly model retraining.|
|Power BI visualises energy consumption data from Stream Analytics as well as predicted energy demand from SQL Database.|
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Predict future customer demand and optimise pricing to maximise profitability using big-data and advanced-analytics services from Microsoft Azure.Learn more