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.
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.
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.
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 shows how mathematical optimization enables the rapid development and deployment of applications that address the energy and power industries’ most pressing issues, including climate change, grid utilization, market restructuring and Enterprise IT.
Learn how an integrated security intelligence platform provides the necessary components to help energy and utilities companies automate compliance and risk management, detect and manage threats, and protect the smart grid from both security breaches and cyber-attacks.
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.