Why energy data analytics is getting smarter

October 10, 2013 at 2:37 pm

The value of energy data goes far beyond simple meter-to-cash billing improvements. New machine learning technology can help utilities spot patterns in energy data that can enhance operations, identify problems, aid long-term planning for assets and networks, and much more.

Machine learning algorithms can help utilities address with a broad range of practical and strategic questions, such as:

  • Which customers are more likely to switch providers?
  • Which meters are more likely to have problems?
  • How to adapt grid operations to accommodate fluctuating levels of renewable resources?

This month, at European Utility Week, Krishan Gupta (Director of Product Management for eMeter, a Siemens business) will give a presentation exploring practical applications of recent advances in AMI analytics technology.

Full post: Machine learning: Why energy data analytics is getting smarter

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Entry filed under: analytics, energy data, Events. Tags: .

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