DSFES-2019: First Workshop on Data Science for Future Energy Systems Hyderabad, India, December 17, 2019 |
Submission link | https://easychair.org/conferences/?conf=dsfes2019 |
Abstract registration deadline | September 30, 2019 |
Submission deadline | September 30, 2019 |
Acceptance notification | October 14, 2019 |
Camera-ready deadline | October 28, 2019 |
First Workshop on Data Science for Future Energy Systems (DSFES) 2019 collocated with HiPC 2019
An Energy System is defined as a system primarily designed to supply energy services to end users. Such systems form the backbone of the modern economy and include power grids, oilfields, heating/cooling systems, etc. The design of efficient, reliable and scalable Energy Systems for the future requires making them smarter and transitioning them into Future Energy Systems via novel data-driven solutions built on top of the existing monitoring and control infrastructure.
The goal of this workshop is to highlight and encourage discussions regarding novel applications of data science and data analytics techniques in the domain of Energy Systems such as smart (power) grids, smart oilfields, smart heating/cooling systems, etc. Data-driven techniques enabling the transition to Future Energy Systems via improved sustainability and electrification of the energy systems, Uberization of the energy systems, mobility changes due to future energy systems, etc. are solicited.
Submission Guidelines
Submitted manuscripts should be structured as technical papers and may not exceed six (6) single-spaced double-column pages using 10-point size font on 8.5 × 11 inch pages (IEEE conference style), including figures, tables, and references. See IEEE style templates at this page for details.
Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, the relevance of the problem to the workshop theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper.
Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference.
Presentation of an accepted paper at the workshop is a requirement of publication. Any paper that is not presented at the conference will not be included in proceedings.
List of Topics
This workshop seeks submissions related to the following topic areas as applicable to the domain of future energy systems.
- Discovery of knowledge and insights using data
- Data Analytics Applications: Learning, prediction, anomaly detection, pattern recognition, search, mining, etc.
- Data management/infrastructure
- Data privacy/security
- Data-driven modeling
- Data-driven decision making
- Data-driven techniques enabling energy transition for improved sustainability and electrification
- Uberization of energy systems – enabling peer-to-peer transactions, minimizing the distance between the producer and consumers, user rating system for the quality of service, etc.
- Mobility changes due to future energy systems
Committees
Program Committee
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Ram Balachandra, India
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Charalampos Chelmis, University of Albany, USA
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Akshay Uttama Nambi, Microsoft Research, India
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Anand Panangadan, California State University, USA
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Laks Raghupati, Shell, India
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Kiran Sajjenshetty, Voyage Auto Inc., USA
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Ajitesh Srivastava, University of Southern California, USA
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Mahima Agumbe Suresh, San Jose State University, USA
Organizing committee
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Sanmukh R. Kuppannagari, University of Southern California, USA
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Chayan Sarkar, TCS Research & Innovation, India
Publication
DSFES2019 proceedings will be published in IEEE Explore along with HiPC 2019.
Venue
The workshop will be held in Hyderabad, India along with HiPC 2019.
Contact
All questions about submissions should be emailed to Sanmukh R. Kuppannagari (kuppanna@usc.edu) or Chayan Sarkar (chayan@ieee.org).