BDSG 2016 - 2016 Workshop on Big Data in Smart Grids

Smart grids have been proposed as a mechanism to modernize energy grids. In a smart grid, sensors, computers and communication networks are integrated into the power generation, transmission, distribution, and load elements. Big data in the smart grid is generated from various sources such as energy consumption data measured by smart meters, operation data from devices in the power infrastructure, data from sensors distributed over transmission and distribution networks, and auxiliary data such as weather, geographic information system, social media, and energy market data.
The purpose of this workshop is to gather experts in multi-disciplinary fields and discuss research at the intersection of big data and smart grids.
Topics of interest
Big data platforms for smart grids
Data representation and modeling in smart grids
Data integration in smart grids
Social and media data analysis in smart grids
Big data visualization in smart grids
Big data analysis for secure smart grids
Program Committee
Wilson Rivera, University of Puerto Rico, USA (Chair)
Manuel Rodriguez, University of Puerto Rico, USA (Co-Chair)
Pelin Angin, Purdue University, USA
Fabio Andrade, University of Puerto Rico, USA
Suren Byna, Lawrence Berkeley National Laboratory, USA
Christine Chan, University of Regina, Canada
Agustín Irizarry, University of Puerto Rico, USA
George K. Karagiannidis, Aristotle University of Thessaloniki, Greece
Eduardo A Lugo, University of Puerto Rico, USA
Lionel Orama, University of Puerto Rico, USA
Cecilio Ortiz, University of Puerto Rico, USA
Yassine Ouhammou, LIAS / ISAE-ENSMA, France
Efraín O'Neill-Carrillo, University of Puerto Rico, USA
Marla Perez, University of Puerto Rico, USA
Viktor K. Prasanna, University of Southern California, USA
Praveen Rao University of Missouri-Kansas City, USA
Rafael A Rodriguez, University of Puerto Rico, USA
Richard O. Sinnott, University of Melbourne, Australia
Predrag Tosic, Washington State University, USA