Classification of new electricity customers based on surveys and smart metering data

This paper proposes a process for the classification of new residential electricity customers. The current state of the art is extended by using a combination of smart metering and survey data and by using model-based feature selection for the classification task. Firstly, the normalized representat...

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Veröffentlicht in:	Energy (Oxford) 2016-07, Vol.107, p.804-817
Hauptverfasser:	Viegas, Joaquim L., Vieira, Susana M., Melício, R., Mendes, V.M.F., Sousa, João M.C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Classification Classification of new residential customers Consumption Customer feature selection Customer surveys data Customers Data-driven energy efficiency Electricity Electricity customer clustering Metering Smart metering data State of the art Tasks
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