NSF Workshop, TAMU, April 18, 2017
Theme: Using Smart Grids Big Data
Following up on the previous Smart Grid Workshop titled “Smart Grids Big Data” held at TAMU in April 2016, the workshop this year will provide opportunities to discuss details of the implementation and benefits of utilizing big data in advanced power grids. The significance of smart grids Big Data is in the diversity of its sources, growth rate, correlations, and spatiotemporal characteristics. Big data is measured ubiquitously and monitored at fine temporal scale in smart electric grids, but largely unexploited for its transformational impact in discovering new knowledge and solutions resulting in major improvements in smart grid operation (e.g. power generation and distribution; renewable energy interfacing, transmission grid resiliency) and smart grid user necessities (microgrids, smart cities, transportation, etc.). The use of Big Data in implementing the automation of data analytics and data management is the focus of this workshop.
Goals and Objectives
For discussing new, innovative directions for using big data in smart grids, this workshop will provide invited speeches, panel and focus group discussions, and a student poster session. In addition, there will be ample opportunities for meeting experts from academia, industry, and national labs, as well as international partners.
This workshop sponsored by the National Science Foundation (NSF) is the first in a series of events related to the project titled “Smart Grids Big Data” Spoke lead by Drs. Mladen Kezunovic, Principal Investigator (PI, Texas A&M University), Co-PIs: Dilma Da Silva, P.R. Kumar, and Le Xie from Texas A&M University, Santiago Grijalva from GaTech, and Zoran Obradovic from Temple University. This project provides support to the South Big Data Hub. More on this project can be found here.
Slide sets linked to the program can be viewed here.
More news on the workshop can be found here.
More info and all photos can be found here.