Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications

Tutorial: Big Data Analytics: Concepts, Technologies, and Applications

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

It is already true that Big Data has drawn huge attention from researchers in information sciences, policy and decision makers in governments and enterprises. As the speed of information growth exceeds Moore’s Law at the beginning of this new century, excessive data is making great troubles to human beings. However, there are so much potential and highly useful values hidden in the huge volume ...

Practical Applications of Smart Grid Technologies

The terms smart grid, IntelliGrid, and secure smart grid are being used today to describe technologies that automatically and rapidly isolate faults, restore power, monitor demand, and maintain and restore stability for more reliable generation, transmission, and delivery of electric power. In general, the terms describe the use of microprocessor-based intelligent electronic devices (IEDs) comm...

Smart Grid Data Analytics for Electric Utilities

Author: Andre Szykier CEO/CTO GridPlex Networks LLC Copyright © 2010 P ag e1 Demand Response and Grid Management are power utility initiatives driven by Federal and State stimulus programs to make the electric grid more reliable, secure and intelligent. The first step in making a grid “smart” is by replacing existing end user power utility meters with smart meters that support bi-directional co...

Efficient Incremental Smart Grid Data Analytics

Analytical computations over energy data are gaining popularity thanks to the growing adoption of smart electricity meters. Computations in this context range from seemingly straightforward tasks such as calculating monthly bills based on time-of-use pricing, to elaborate model building for predictions and recommendations in an effort to reduce peak demand. While research in this promising area...