The IEEE International Conference on Smart Grid Synchronized Measurements and Analytics 2019 (IEEE SGSMA 2019) will be held at College Station, Texas on May 20-23, 2019. This conference provides a leading forum for communicating an up-to-date research in Synchronized Measurements and Analytics. IEEE SGSMA helps to connect researchers and developers from academia, research and industry from all over the world to facilitate innovation, knowledge transfer and technical progress in addressing synchronized measurements and analytics to advance smart grids. The theme of the conference will be focused particularly on synchronized sampling and synchrophasors.
For the IEEE International Conference on Smart Grid Synchronized Measurements and Analytics 2019 (IEEE SGSMA 2019), registration is available here
Proposals for panels, tutorials and workshops may also be submitted.
For more information, go here
IEEE Big Data 2017 Call for Papers
2017 IEEE International Conference on Big Data(Big Data 2017)
December 11-14, 2017, Boston, MA, USA
In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.
- The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries. (Big Data 2013) The regular paper acceptance rate is 17.0%
- The IEEE Big Data 2016( regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8, 2016 with close to 900 registered participants from 43 countries.
The 2017 IEEE International Conference on Big Data (IEEE Big Data 2017) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications.
We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications.
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Texas A&M University Electrical and Computer Engineering and IEE PES have organized the Intelligent Systems Application to Power Systems (ISAP) Conference. The conference was held in San Antonio, Texas on September 17th-21st, 2017. Members of the local organizing committee included K. Butler-Purry (Conference Chair), C. Singh (Conference Co-Chair), L. Xie (Technical Committee Chair), H. Abu-Rub (Qatar), R. Balog, M. Begovic, M. Ehsani, M. Kezunovic, and B. D. Russell.
The theme of the conference was Big Data and Intelligent Systems for Big Energy. The conference featured a fantastic line-up of keynote and plenary speakers, unique local trips and dining experiences, and papers presented on current topics related to innovative intelligent system technique applications. The full paper was available in IEEE Xplore for the benefit of professionals, researchers, and students.
Plenary Sessions addressed topics such as Intelligent Systems Applications of Big Data/Analytics for Real World Problems; and Past, Present, and Future in Intelligent Systems Applications to Power. Speakers have been confirmed from CPS Energy, ERCOT, PJM, ABB, and PNNL.
The program planning committees did a fantastic job developing this conference, but the attendees make ISAP special each year. We believe you found your presence at this important event in the electric power community to be of significant value and look forward to sharing an inspiring, productive, and exciting event with all of you in San Antonio, Texas.
A full list of the ISAP Local Organizing Committee can be found here>
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The conference flyer can be found here>
Session title: Big Data Analytics for Transmission and Distribution Applications Date and Location: Thursday, July 20, 2017, 1:00 PM – 5:00 PM, G-200 Tiered Classroom
The focus of this Panel was on different Big Data sources in the utility industry that range from field measurements obtained by substation, transmission line and feeder intelligent electronic devices, to specialized commercial and/or government/state databases. This Panel discussed the Big Data Analytics, which illustrated unique characteristics of Big Data in the utility industry where the temporal and spatial properties, as well as correlation to the power system and component models are necessary for an efficient data uses.
Sessions 1: 1:00-3:00pm, Mladen Kezunovic, Chair
1:00-1:20, Mladen Kezunovic, Texas A&M University
1:20-1:40, Alberto Del Rosso, EPRI
1:40-2:00, Theo Laughner, TVA
2:00-2:20, Le Xie, Texas A&M University
2:20-2:40, Ram Rajogopal, Stanford
2:40-3:00, Robert Sherick, SCE
Session 2: 3:00-5:00pm, Nanpeng Yu, Chair
3:00-3:20, Nanpeng Yu, UCR
3:20-3:40, Meng Wang, RPI
3:40-4:00, Doug Dorr, EPRI
4:00-4:20, Mirrasoul Mousavi, ABB
4:20-4:40, Bradley Williams, Oracle
4:40-5:00, Mehdi Maasoumy, C3 IoT
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The Conference Program introductory pages can be found here>