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Solution Accelerator

Grid-Edge Analytics

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

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Optimize energy grid performance and prevent outages

The key to building a smarter, sustainable and more resilient energy grid lies in understanding how to harness data generated at the “edge” of the grid to make informed decisions about how to manage energy demands, optimize grid performance and reduce greenhouse gas emissions. Using the Databricks Lakehouse for Manufacturing and Energy, organizations can:

  • Unify data from various IoT devices such as smart meters, sensors, and more
  • Analyze data stored in Comtrade files to gain deeper insights into grid behavior and potential problems
  • Train a fault detection model using a convolutional neural network to identify anomalies

Read the full write-up

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Databrickss blog Accelerating Grid-Edge Analytics Using Comtrade Files with Apache Spark

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