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• W2557904489 abstract "Emerging smart meter technologies allow energy retailers to monitor individual's consumption in real time. Efforts have been made in mining, modelling and manipulating those time series data for large number of applications, such as demand forecasting, user profiling or household appliance identification. This paper, however, focuses on modelling spikes in power usage for load profiling. This is a critical characteristic in smart meter load profiles. This paper presents a fast and accurate method to automate the detection of power usage spikes for further smart meter applications." @default.
• W2557904489 created "2016-12-08" @default.
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• W2557904489 date "2016-06-01" @default.
• W2557904489 modified "2023-09-22" @default.
• W2557904489 title "Power usage spike detection using smart meter data for load profiling" @default.
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• W2557904489 doi "https://doi.org/10.1109/isie.2016.7744980" @default.
• W2557904489 hasPublicationYear "2016" @default.
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