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 will be held in San Antonio, Texas on September 17th-21st, 2017. Members of the local organizing committee include 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 is Big Data and Intelligent Systems for Big Energy. The conference features 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 will be available in IEEE Xplore which will benefit professionals, researchers, and students.
Plenary Sessions will address 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 have done a fantastic job developing this conference, but the attendees make ISAP special each year. We believe you will find 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 is 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 will discuss the Big Data Analytics, which will illustrate 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>