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Big Data and Analytics Play an Important Role in the Energy Industry

In this contributed article, Ritesh Mehta, Senior Technical Account Manager for TatvaSoft Australia, discusses how the energy industry is using big data technology to lower energy consumption, look for new sources of renewable energy and boost energy efficiency – are all integral big data goals to protect the environment as well as to sustain economic growth.

Data as a Critical Element in the Discovery and Delivery of Smart Energy

In this contributed article, Jules S. Damji, an Apache Spark Community Evangelist with Databricks, shows how as the value of data continues to grow, the next-generation smart grid should become a reality, benefiting utility companies and consumers alike.

Utilities and Big Data: The Rushed Evolution

In this special guest feature, Ed Cuoco is the Director of Data Science at The Weather Company, takes a look at big data from the perspective of the utility company and how they can no longer serve their own or their stakeholders’ interests without smarter insights at scale and in real time.

Big Data’s Big Impact Coming to Oil and Gas

In this special guest feature, Nav Dhunay, President & CEO at ambyint, presents a high-level view of how Big Data is poised to disrupt the oil & gas industry.

Scaling Home Energy Simulation to New Markets

In this special guest feature, Mark Gately, Senior Manager, Decision Science at Tendril, describes a future when homeowners can use data analytics to accurately model energy consumption and corresponding costs.

Analytics Plus the Internet of Things Add up to Grid Reliability

SAS and OSIsoft are showcasing how predictive analytics from SAS and infrastructure-management software from OSIsoft can transform asset data from IoT connected devices into an optimized grid with the Salt River Project powered by SAS.

Dutch Utility Deploys Software Defined Power Plant by AutoGrid Systems

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™.

Data-Driven Insights with MATLAB Analytics: An Energy Load Forecasting Case Study

In this article, Seth DeLand and Adam Filion use MATLAB to complete the entire data analytics workflow for a load forecasting application. Using this application, utility analysts can select any region in the state of New York to see a plot of past energy load and predicted future load.

Bonneville Power Deploys AutoGrid’s Big Data Software

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.

Mtell and MapR Deploy Big Data Platform for Oil and Gas

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.