RESEARCH CONTENT:
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.
WHITE PAPER:
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.
WEBCAST:
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.
EBOOK:
In this 3-part guide, SearchBusinessAnalytics explores organizations' operational intelligence initiatives and their impact on business processes in customer service, logistics, energy, and manufacturing.
WHITE PAPER:
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.
PRESENTATION TRANSCRIPT:
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.
WHITE PAPER:
This white paper discusses the importance of managing energy consumption in data centers and how systems management technologies contribute to green management.
WHITE PAPER:
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.
CASE STUDY:
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.
