Upcoming Workshops

Smart Grid Edge Analytics Workshop

The “Smart Grid Edge Analytics” Workshop sponsored by the National Science Foundation (NSF) will take place at the Georgia Tech Global Learning Center in Atlanta, GA, USA, on June 4-5, 2019. This workshop is organized by The Georgia Institute of Technology, in collaboration with Texas A&M University, Temple University, and the South Big Data Innovation Hub. This event is part of the NSF Smart Grids Big Data Analytics activity enabled by the NSF SPOKE award to Texas A&M University, Georgia Institute of Technology and Temple University.

The objective of the workshop is to bring together key experts and leaders from academia, industry, and Government to exchange the latest developments and research on data analytics “at the edge of the grid”. The workshop includes tutorials on data science and smart grid edge analytics, and sessions on “distribution grid analytics”, “smart meter and customer analytics”, “DER integration analytics”, and “beyond the grid analytics: smart cities, EV, smart buildings”.

For more information, go here.

Past Workshops

NSF Smart Grid Workshop 2018

The NSF Smart Grid workshop related to the Smart Grids Big Data Spoke project was held at Texas A&M University in College Station on May 8th, 2018.

The second Smart Grids Big Data (SGBD) Spoke Workshop sponsored by the National Science Foundation (NSF) was organized to support the SGBD Spoke Project,  a collaborative project between Dr. Mladen Kezunovic (PI, Professor, Electrical & Computer Engineering, Texas A&M; Director, TEES Smart Grid Center) and Co-PIs from TAMU: Drs. Dilma Da Silva (Professor, Department Head, Computer Science & Engineering), P.R. Kumar (Professor, Electrical & Computer Engineering), and Le Xie (Associate Professor, Electrical & Computer Engineering). Following are slides from the workshop:

  • The agenda including slides and notes can be viewed here.

NSF Smart Grid Workshop 2017

A workshop on “Using Smart Grids Big Data: The Next Steps” was held in College Station on April 18th, 2017.  Following up on the previous Smart Grid Workshop titled “Smart Grids Big Data” held at TAMU on April 28th, 2016, the workshop this year provided opportunities to discuss details of the implementation and benefits of utilizing big data in advanced power grids. The significance of Smart Grids Big Data (SGBD) 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, such as power generation and distribution; renewable energy interfacing, transmission grid resiliency,  and smart grid user necessities including microgrids, smart cities, transportation. The use of SGBD in implementing the automation of data analytics and data management is the focus of this workshop. This event was held at the Memorial Student Center of Texas A&M University and provided invited speeches, panel and focus group discussions, and a student poster session for discussing innovative directions in using big data in smart grids. In addition, there were opportunities for meeting experts from academia, industry, and national labs, as well as international partners.

The agenda including slides sets can be viewed here.

4th RIO International Workshop, Rio de Janeiro, Brazil “The use of Synchrophasors in Power Systems: An Indispensable Infrastructure in the 21st Century”,  November 29, 2016

Fall 2016 Workshop Series: Applications of Analytics and Machine Learning in Energy Industry-Academia Workshop, September 6, 2016. View more information at