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 transcript examines the respective challenges that accompany virtualization and green IT initiatives. Learn specific best practices that will enable your business to lower Total Cost of Ownership (TCO) and accelerate ROI.
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.
In this 3-part guide, SearchBusinessAnalytics explores organizations' operational intelligence initiatives and their impact on business processes in customer service, logistics, energy, and manufacturing.
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.