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- W2804503668 abstract "In order to develop real intelligent smart grids, understanding the patterns hidden in the smart grid data is crucial. More precisely, the detection of the preferences, behavior and characteristics of consumers and prosumers is crucial. In this work, we introduce a general methodology that groups energy consumption and production of households, based on global as well as local features, allowing the characterization of load and production profiles for consumers and prosumers. Our methodology is illustrated using a two-level clustering approach. The theoretical results are applicable in other areas, and have utility in a general business analysis." @default.
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- W2804503668 date "2017-10-17" @default.
- W2804503668 modified "2023-10-14" @default.
- W2804503668 title "Clustering methodology for smart metering data based on local and global features" @default.
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- W2804503668 doi "https://doi.org/10.1145/3109761.3158398" @default.
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