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Development of a real-time non-intrusive appliance load monitoring system: An application level model

Nguyen T.K. University of Science and Technology – The University of Danang, Viet Nam|
Nguyen V.C. | Zammit O. | Nicolle B. | Jacquemod G. Qualisteo Company Nice, France| Dekneuvel E. University of Nice-Sophia Antipolis, EPOC-UNS, Sophia Antipolis, France|

International Journal of Electrical Power and Energy Systems Số , năm 2017 (Tập 90, trang 168-180)

ISSN: 1420615

ISSN: 1420615

DOI: 10.1016/j.ijepes.2017.01.012

Tài liệu thuộc danh mục: ISI, Scopus

Article

English

Từ khóa: Behavioral research; Climate change; Data flow analysis; Electric load management; Energy utilization; Field programmable gate arrays (FPGA); Genetic algorithms; Programmable logic controllers; CUSUM; Hardware-software co-development; K-means; NIALM; Synchronous Dataflow; System modeling; System-on-chip
Tóm tắt tiếng anh
The research “Behavior Change and Energy Use” (US Department of Energy and Climate Change, 2011) [1] shows that with better information in the monthly electricity bill, the Energy Performance Certificate (EPC) can encourage people to reduce their energy usage. That is why smart meters - the emerging technology to help people to know their monthly energy consumption, are gradually replacing mechanical power meters. In this paper, we investigate a special energy monitoring process named Non-Intrusive Appliance Load Monitoring (NIALM), which is potentially the best method to give consumers pertinent information with respect to power consumption. However, real-time feedback feature in a low cost NIALM system is still a big challenge in such technology because of the complication in NIALM's algorithms. System on Chip (SoC) technology can solve this challenge. Besides including high-speed interconnection and multi-processors, integrating Field-Programmable Gate Array (FPGA) into SoCs may be the most important evolution, which provides developers a powerful tool to develop a low cost but high performance system. Therefore, in this paper we proposed a development of a real-time NIALM system based on the SoC with FPGA acceleration. © 2017 Elsevier Ltd

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