How to forecast energy demand with Azure Machine Learning | Azure Makers Series

Kelvion New Plate Heat Exchanger


Use Azure Machine Learning to create a model and apply it to a real-world scenario: predicting energy demand and expected load on energy grids – a critical business operation for energy companies. The same principles apply across use cases, so you can adjust for your organization’s critical operations and needs.

GitHub Repo: https://github.com/FrancescaLazzeri/AutomatedMLEnergyForecast

Create your Azure free account: https://aka.ms/J1PxFdcK2tY

Follow Francesca on Twitter: https://twitter.com/frlazzeri


Duration: 5:43
Publisher: Microsoft Azure
You can watch this video also at the source.