How Hadoop is changing energy and utilities

Product Marketing Manager

Energy and Util Avi Datagram_v36-120314.jpgStreaming data is a huge challenge (and opportunity) for energy and utility companies. Smart meters, sensors on oil rigs and power stations, plant efficiency systems, thermometers, water flow monitors—all of these resources and more take and send measurements multiple times per day, sometimes multiple times per minute. Big data technologies can turn the information from smart meter and smart grid projects into meaningful operational insights and insights about company assets and customer behavior.

Energy and utility companies are relying on Hadoop to help curb energy consumption by analyzing user data and making those insights available to consumers. The goal is to show the customer how behavior changes and appliance upgrades reduce energy consumption and enhance direct customer communication.

Operational efficiency also benefits from big data and analytics. Data from the smart grid can help utilities get more from existing resources and plan for proactive maintenance and capacity management. Analysis of weather and geographic data helps companies identify locations for new green energy deployments (wind farms, solar systems and so on) as well as optimize the transportation of work crews and timely delivery of raw materials or building components to job sites and processing facilities. Watch how IBM helped Vestas turn climate big data into capital.

In this new e-book on IBM InfoSphere BigInsights you will learn how several industries are accessing the benefits of Hadoop.

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