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Deliver Predictive Analytics with Dash Enterprise and Databricks

Deliver Predictive Analytics with Dash Enterprise and Databricks
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Speakers

Mingo Sanchez

Mingo Sanchez

Robert Belcher

Robert Belcher

Christopher Lee

Christopher Lee

With 20 million customers, UK Power Networks is one of the largest distributors of electricity within England. As part of the national Net Zero initiative, the company launched the first independent Distribution System Operator (DSO) to provide low-carbon, lower-cost energy. UK Power Networks relies on efficient electricity demand prediction to ensure the most reliable service for its diverse range of customers.

UK Power Networks needed a flexible data analytics solution. The DSO’s Decision Sciences team turned to Dash Enterprise and Databricks to create real-time, ML-powered data applications that could be shared directly with electrical engineers and capital investment planners. The result? UK Power Networks was able to target over £400 million in savings for its customers.

Watch this recorded customer spotlight to hear how UK Power Networks used Dash Enterprise and Databricks to incorporate the following in their electricity demand prediction data applications:

  • Real-time data from 120,000 smart meters and historic data from low-voltage monitoring
  • Geospatially-diverse consumption behavior from 8 million businesses and households
  • Predictive analytics from complex machine learning models
  • Efficient workflows and proactive insights for timely network infrastructure upgrades

Want to learn more about how UK Power Networks uses Plotly? Check out their user story.

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