Electrical Data Matrix Decomposition in Smart Grid

Smart, smarter, smartest... the consumer meets the smart electrical grid

Resilient Data Collection in Smart Grid

Sensors and measurement devices are widely deployed in Smart Grid (SG) to monitor the health of the system. However, these devices are subject to damage and attack so that they cannot deliver sensing data to the control center. In treebased data collection schemes, a relay failure can further lead to unresponsiveness of all the devices in its sub-tree. In this paper, we study the resiliency iss...

Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology

The success of transportation electrification in this century is critically dependent on the penetration of plug-in electric vehicles (PEVs) into power grids. Massive integration of PEVs into a power grid potentially gives rise to its operating fluctuation, which is not easily controlled due to the unavailability of the PEVs’ power demand profiles prior to their random connections to the grid. ...

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...