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A complex event processing architecture for energy and operation management: industrial experience report

Published: 11 July 2011 Publication History

Abstract

In this report, we share our experience in developing a complex event processing architecture that bridges sensors networks to an energy management system used in the context of chain convenient stores. We analyze event data in real-time to generate immediate and predictive appliance/operation insights and enable instant response defined by simple business rules. For intuitive rule management, preprocessed events should be used in many cases instead of raw events collected from sensor network. We illustrate practical energy and operation management rules based on preprocessed events such as forecasted and classified events in addition to raw events.

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Cited By

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  • (2013)Forecasting household electricity demand with complex event processingProceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware Conference10.1145/2541596.2541598(1-6)Online publication date: 9-Dec-2013
  • (2012)Multilevel event-based monitoring framework for the petals enterprise service busProceedings of the 6th ACM International Conference on Distributed Event-Based Systems10.1145/2335484.2335490(48-57)Online publication date: 16-Jul-2012

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cover image ACM Conferences
DEBS '11: Proceedings of the 5th ACM international conference on Distributed event-based system
July 2011
418 pages
ISBN:9781450304238
DOI:10.1145/2002259
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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Published: 11 July 2011

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Author Tags

  1. energy management
  2. event processing

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DEBS '11 Paper Acceptance Rate 23 of 95 submissions, 24%;
Overall Acceptance Rate 145 of 583 submissions, 25%

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View all
  • (2013)Forecasting household electricity demand with complex event processingProceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware Conference10.1145/2541596.2541598(1-6)Online publication date: 9-Dec-2013
  • (2012)Multilevel event-based monitoring framework for the petals enterprise service busProceedings of the 6th ACM International Conference on Distributed Event-Based Systems10.1145/2335484.2335490(48-57)Online publication date: 16-Jul-2012

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