NSF Smart Grid Workshop 2018
The next workshop related to the Smart Grids Big Data Spoke project will be held at Texas A&M University in College Station on May 8th, 2018. Save the date!
The second Smart Grids Big Data (SGBD) Spoke Workshop sponsored by the National Science Foundation (NSF) is 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). Sub-awardees on the project are Dr. Santiago Grijalva (Professor, Georgia Tech) and Zoran Obradovic (Temple University). The event is going to be held at TAMU in College Station on May 8th followed by leadership meetings on May 9th, 2018.
At the first workshop of the SGBD Spoke project held on April 18, 2017, the theme was “Using Smart Grids Big Data”. More than 130 people attended the SGBD workshop, including NSF supported participants, faculty and students from Texas A&M University, and representatives from the government and non-profit organizations and industry. There were travel grant recipients, a total of 26, including 15 young faculty, researchers and postdocs and 9 graduate students. In addition to U.S. travel grant recipients, there were foreign visitors from UK, Singapore, Croatia and Brazil. More information 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. More information can be viewed here.
Smart Grid Workshop, April 28, 2016. View more information 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 http://www.southbdhub.org/workshops.html