Feature Extraction from Building Submetering Networks Using Deep Learning

Feature Extraction from Building Submetering Networks Using Deep Learning

The understanding of the nature and structure of energy use in large buildings is vital for defining novel energy and climate change strategies. The advances on metering technology and low-cost devices make it possible to form a submetering network, which measures the main supply and other intermedi...

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Bibliographic Details
Main Authors: Antonio Morán, Serafín Alonso, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
deep learning
convolutional neural networks
autoencoders
submetering networks
power consumption
Online Access:https://www.mdpi.com/1424-8220/20/13/3665

Internet

https://www.mdpi.com/1424-8220/20/13/3665

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