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IntelSCEP: Towards an Intelligent Semantic Complex Event Processing Framework for Prosumer-Oriented SmartGrid

Authors:

Syed Gillani,

Gauthier Picard,

Frédérique LaforestAuthors Info & Claims

IWWISS '14: Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing

Pages 1 - 2

https://doi.org/10.1145/2637064.2637110

Published: 01 September 2014 Publication History

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Abstract

Recognition of patterns and prediction of future events has become quite important in many application areas of Complex Event Processing (CEP). However, the state-of-art technologies cannot cope with the heterogeneity of event streams and employ historical and future events to predict new situations. Emerging applications like Prosumer-Oriented SmartGrid are spread across multiple domains and require a solution to handle large influx of heterogeneous streams and extract meaningful patterns to devise automated response. In this paper, we present a motivational scenario for such system, discuss some limitations of existing CEP systems and describe our work towards an intelligent semantically enriched CEP (IntelSCEP) system.

References

[1]

M. Eckert and F. Bry. Complex event processing (cep). Informatik Spektrum, 32(2):163--167, 2009.

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[2]

S. Gillani, F. Laforest, and G. Picard. A generic ontology for prosumer-oriented smart grid. In EDBT/ICDT Workshops, pages 134--139, 2014.

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[3]

D. Le-Phuoc, M. Dao-Tran, J. X. Parreira, and M. Hauswirth. A native and adaptive approach for unified processing of linked streams and linked data. ISWC'11. Springer-Verlag, 2011.

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N. P. Schultz-Møller, M. Migliavacca, and P. Pietzuch. Distributed complex event processing with query rewriting. DEBS '09. ACM, 2009.

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Alakari ALi KGebali F(2017)Complex event processing enrichment: Motivations and challenges2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)10.1109/PACRIM.2017.8121891(1-7)Online publication date: Aug-2017
https://doi.org/10.1109/PACRIM.2017.8121891
Hippolyte JHowell SYuce BMourshed MSleiman HVinyals MVanhee L(2016)Ontology-based demand-side flexibility management in smart grids using a multi-agent system2016 IEEE International Smart Cities Conference (ISC2)10.1109/ISC2.2016.7580828(1-7)Online publication date: Sep-2016
https://doi.org/10.1109/ISC2.2016.7580828

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IntelSCEP: Towards an Intelligent Semantic Complex Event Processing Framework for Prosumer-Oriented SmartGrid
1. Information systems

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Published In

IWWISS '14: Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing

September 2014

109 pages

ISBN:9781450327473

DOI:10.1145/2637064

Editors:
Pierre Maret,
Satoshi Honda,
Program Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Fuyuki Ishikawa
National Institute of Informatics, Japan
,
Takuro Yonezawa
Keio University, Japan
,
Till Riedel
University of Karlsruhe, Germany
,
Publications Chair:
Martin Alexander Neumann
University of Karlsruhe, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Keio University: Keio University
WNRI: Western Norway Research Institute

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Association for Computing Machinery

New York, NY, United States

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Published: 01 September 2014

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IWWISS '14

IWWISS '14: International Workshop on Web Intelligence and Smart Sensing

September 1 - 2, 2014

Saint Etienne, France

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IWWISS '14 Paper Acceptance Rate 12 of 18 submissions, 67%;

Overall Acceptance Rate 12 of 18 submissions, 67%

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Alakari ALi KGebali F(2017)Complex event processing enrichment: Motivations and challenges2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)10.1109/PACRIM.2017.8121891(1-7)Online publication date: Aug-2017
https://doi.org/10.1109/PACRIM.2017.8121891
Hippolyte JHowell SYuce BMourshed MSleiman HVinyals MVanhee L(2016)Ontology-based demand-side flexibility management in smart grids using a multi-agent system2016 IEEE International Smart Cities Conference (ISC2)10.1109/ISC2.2016.7580828(1-7)Online publication date: Sep-2016
https://doi.org/10.1109/ISC2.2016.7580828

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Incorporating semantic knowledge into dynamic data processing for smart power grids

Modeling Smart Grid neighborhoods with the ENERsip ontology

Security asset elicitation for collaborative models

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Incorporating semantic knowledge into dynamic data processing for smart power grids

Modeling Smart Grid neighborhoods with the ENERsip ontology

Security asset elicitation for collaborative models

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