AutoGrid Systems, a leader in big data analytics for the electricity and energy industry, today announced that Eneco Group, the leading Dutch sustainable energy group dedicated to helping its clients to save, use, exchange or sell energy, which serves more than 2 million residential and business users, has selected its Predictive Controls™ technology and its flagship application, DROMS, to build and deploy the industry’s first Software Defined Power Plant™.
AutoGrid Systems, a leader in big data analytics for the energy industry, announced that the Bonneville Power Administration (BPA), an agency of the U.S. Department of Energy responsible for delivering and managing power across the Pacific Northwest, is using AutoGrid’s award-winning Demand Response Optimization & Management System (DROMS) to schedule and signal demand response (DR) events.
Mtelligence Corporation (dba Mtell), and MapR Technologies, Inc., provider of a top-ranked distribution for Apache™ Hadoop®, announced a new Big Data platform called Mtell Reservoir that combines the MapR Distribution including Hadoop, Mtell Previse Software, and Open TSDB (time-series database) software technology.
WANdisco (LSE: WAND), a leading provider of continuous-availability software for global enterprises to meet the challenges of Big Data, announced yesterday that after an extensive evaluation, British Gas, the UK’s largest utility and home services provider, has significantly scaled up its Non-Stop Hadoop for Hortonworks (NASDAQ: HDP) deployment for live customer-facing operations.
Actian Corporation, delivering an end-to-end big data analytics platform running natively in Hadoop, announced that clean energy provider Slingshot Power is using the Actian Analytics Platform – Hadoop SQL Edition™ to more accurately target customer segments, optimize system performance, tailor recommendations, and predict the ideal pathway for every American home to achieve energy independence.
IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.
This webinar is focus on understanding active risk management with high performance data and grid management.
For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.