Why energy data analytics is getting smarter

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