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GigaOM: 10 Ways Big Data is Remaking Energy

Laura Kier

January 30, 2012

By Katie Fehrenbacher

One of the most obvious trends from the big smart grid conference DistribuTECH last week was how much analytics and big data tools will be used to try to remake energy in 2012, from curbing energy consumption, to reducing energy loss, to adding in more clean power to the grid. Here’s 10 ways that analytics and big data will start to shape the production and consumption of energy in the world:

1). Weather data: Having a finger on the pulse of constantly changing weather data on a micro and macro level can help utilities, building owners and consumers optimize their energy consumption habits and promote energy efficiency. Startup EnergyHub recently partnered with sensor network player Earth Networks to use weather data to make a more efficient form of demand response (utilities controlling power consumption). Other startups like EcoFactor, Opower and Tendril also use weather data as part of their energy behavioral analytics.

IBM has long sold a weather prediction service called Deep Thunder to municipalities, organizations and utilities, which use it to do things like tailor their services, change routes, or generate more or less power. I think weather data could some day provide a platform for some very important next generation services and applications for energy efficiency, much in the way that location data is used as a platform for a variety of services.

To read the full article, head on over to GigaOM.

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