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• W2893386658 abstract "Smart meter systems are being deployed to improve grid reliability and promote energy efficiency while providing improved services to their customers. Smart metering which is installed in millions of households worldwide provides utility companies with real-time meaningful and timely data about electricity consumption and allow customers to make informed choices about energy usage. Smart meter data analytics has become an active area in research and industry. It aims to help utilities and consumers understand electricity consumption patterns. This paper provides analysis methods for load data including: analysis of daily load profiles and similarity between them, analysis of load density, and analysis of seasonal and irregular components in the load time series. We evaluate our approach by analyzing smart meter data collected from 1000 households in Poland at a 15-minute granularity over a period of one year." @default.
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• W2893386658 date "2018-06-01" @default.
• W2893386658 modified "2023-10-06" @default.
• W2893386658 title "Analysis of Smart Meter Data for Electricity Consumers" @default.
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• W2893386658 doi "https://doi.org/10.1109/eem.2018.8469896" @default.
• W2893386658 hasPublicationYear "2018" @default.
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