Pool detection from smart metering data with convolutional neural networks

Abstract The nationwide rollout of smart meters in private households raises privacy concerns: Is it possible to extract privacy-sensitive information from a household’s power consumption? For a small sample of 869 Upper Austrian households, information about consumption-heavy amenities and househol...

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Bibliographic Details
Main Authors: Cornelia Ferner, Günther Eibl, Andreas Unterweger, Sebastian Burkhart, Stefan Wegenkittl
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:Energy Informatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42162-019-0097-8