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- W3128973829 abstract "The main problem studied in this paper is the power load decomposition based on NILM (non-intrusive load monitoring), that is, through the collected data, such as voltage, current, power, harmonic, etc., the artificial intelligence algorithm server is used for the load decomposition, to obtain the electricity status information of the dormitory electrical equipment, online identification of the use of prohibited appliances in college students dormitory. Design the network cloud configuration software and WeChat applet to display the information of electrical equipment behavior, and conduct big data processing for the use of equipment in the dormitory, so as to provide a data basis for optimizing the dormitory energy management. Finally, a prototype demonstration system based on NILM is designed and carried out, results of the experiment show high performance." @default.
- W3128973829 created "2021-02-15" @default.
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- W3128973829 date "2020-12-06" @default.
- W3128973829 modified "2023-10-16" @default.
- W3128973829 title "Research of Load Behavior Based on NILM in Domestic Microgrid" @default.
- W3128973829 cites W2097481773 @default.
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- W3128973829 doi "https://doi.org/10.1109/icsp48669.2020.9320990" @default.
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