Energy theft is a critical issue for power system operators and billions of pounds are lost to it every year. This article in our Royal Holloway security series describes a convolutional long short-term memory-based energy theft detection model to identify electricity thieves.
The reference solution combines Dot Hill storage solutions, Intel Enterprise Edition for Lustre, and Mellanox Infiniband to deliver a highly scalable and high performance infrastructure for oil exploration computing platforms, as well as other HPC applications.
This white paper explores key business event processing capabilities that are helping energy and utilities organizations to manage instrumented and intelligent utility networks detect outages, improve grid security, and prevent fraudulent use of energy.
This brief resource profiles a storage and analysis approach that can help your organization meet the challenges of today's data-intensive business world and achieve a competitive edge. Read on to learn more.
This webcast highlights some of the compliance and collaboration challenges facing the extended nuclear ecosystem, describe a potential solution that can aid addressing the challenges, and present several examples of where the solution has been implemented in the nuclear space.
This use case describes how Israel's largest electricity provider utilizes IBM's predictive analytics software to monitor its turbine performance in real time, enabling the company to discover and resolve anomalies before outages occur.
With energy prices on a steep climb, soon the cost to power and cool a server over its life span could equal its purchase price. By “going green” with energy-efficient IBM® System x™ servers featuring Intel® Xeon® processors, you can win back control of your IT budget--and win the battle with data center...
By helping your data center more accurately visualize and control energy use, you'll reclaim facility capacity and optimize energy use en route to reducing costs for your organization. Read this white paper for the details.