Abstract
The ACM 2020 DEBS Grand Challenge focused on Non-Intrusive Load Monitoring (NILM). NILM is a method that analyzes changes in the voltage and current going into a building to deduce appliance use and energy consumption. The 2020 Grand Challenge requires high performance and high accuracy NILM implementations. In this paper, we describe the technical details of our solution for the 2020 Grand Challenge, a NILM program based on Apache Flink. We employ a Divide-and-conquer strategy to implement our parallel algorithm and designed a verify stage to improve the accuracy. For performance, our method achieves a great overall run time and the highest accuracy.
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CITATION STYLE
Xu, G., Qin, J., & Tian, R. (2020). Optimized parallel implementation of sequential clustering-based event detection. In DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems (pp. 208–213). Association for Computing Machinery. https://doi.org/10.1145/3401025.3401760
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