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Publicatie

Clustering methodology for smart metering data based on local and global features

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

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.
Boek: IML '17 Proceedings of the 1st International Conference on Internet of Things and Machine Learning
Aantal pagina's: 13
Jaar van publicatie:2017
Auteurs:Regional
Toegankelijkheid:Open