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.
- M. K. Chandy, O. Etzion, and R. von Ammon. Executive summary and manifesto -- event processing. In K. M. Chandy, O. Etzion, and R. von Ammon, editors, Event Processing, number 10201 in Dagstuhl Seminar Proceedings, Dagstuhl, Germany, 2011. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany.Google Scholar
- O. Etzion and P. Niblett. Event Processing in Action. Manning Publications, 1 edition, 2010. Google ScholarDigital Library
- D. Guerra, U. Gawlick, and P. Bizarro. An integrated data management approach to manage health care data. In Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, DEBS '09, pages 40:1--40:2, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- A. Hinze, K. Sachs, and A. Buchmann. Event-based applications and enabling technologies. In Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, DEBS '09, pages 1:1--1:15, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- A. Klein and Z. Jerzak. Ginseng for sustainable energy awareness: flexible energy monitoring using wireless sensor nodes. In Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, DEBS '10, pages 109--110, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- Y. Magid, G. Sharon, S. Arcushin, I. Ben-Harrush, and E. Rabinovich. Industry experience with the ibm active middleware technology (amit) complex event processing engine. In Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, DEBS '10, pages 140--149, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- M. R. Mendes, P. Bizarro, and P. Marques. Performance evaluation and benchmarking. chapter A Performance Study of Event Processing Systems, pages 221--236. Springer-Verlag, Berlin, Heidelberg, 2009. Google ScholarDigital Library
- M. R. N. Mendes, P. Bizarro, and P. Marques. A framework for performance evaluation of complex event processing systems. In Proceedings of the second international conference on Distributed event-based systems, DEBS '08, pages 313--316, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- A. Ranganathan. Experiences with codifying event processing function patterns. In Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, DEBS '10, pages 206--215, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- Taipower. Tariff book. Technical report, Taiwan Power Company, 2008.Google Scholar
- G. Tóth, L. J. Fülöp, L. Vidács, A. Beszédes, H. Demeter, and L. Farkas. Complex event processing synergies with predictive analytics. In Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, DEBS '10, pages 95--96, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- R. Weron. Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach. Wiley, 2006.Google ScholarCross Ref
- A. Wun, M. Petrovi, and H.-A. Jacobsen. A system for semantic data fusion in sensor networks. In Proceedings of the 2007 inaugural international conference on Distributed event-based systems, DEBS '07, pages 75--79, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
Index Terms
- A complex event processing architecture for energy and operation management: industrial experience report
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