English español

Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Capítulos de libros >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/43805

Title: Latent variable analysis in hospital electric power demand using non-negative matrix factorization
Author(s): García Pérez, Diego
Díaz Blanco, Ignacio
Pérez García, Daniel
Cuadrado Vega, Abel Alberto
Domínguez González, Manuel
Issue date: 2017
Publisher: i6doc.com publication
Publisher version: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2017-60.pdf
Citation: ESANN 2017. European Symposium on Artificial Neural Networks, p. 507-512 (2017)
Format extent: p. 507-512
Abstract: Energy disaggregation techniques have recently attracted much interest, since they allow to obtain latent patterns from power demand data in buildings, revealing useful information to the user. Unsupervised methods are specially attractive, since they do not require labeled datasets. Particularly, non-negative matrix factorization (NMF) methods allow to decompose a single power demand measurement over a certain time period into a set of components or “parts” that are sparse, nonnegative and sum up the original measured quantity. Such components reveal hidden temporal patterns and events along this period, related to scheduling events and/or demand patterns from subsystems in the network, that are very useful within an energy efficiency context. In this paper we use this approach on demand data from a hospital during a oneyear period, using a calendar visualization of the components, revealing relevant facts about the energy expenditure
Description: ESANN 2017 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 26-28 April 2017
URI: http://hdl.handle.net/10651/43805
ISBN: 978-287587039-1
Sponsored: Financial support from the Spanish Ministry of Economy (MINECO)and FEDER funds from the EU under grant DPI2015-69891-C2-1/2-R
Project id.: DPI2015-69891-C2-1/2-R
Appears in Collections:Capítulos de libros
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

Files in This Item:

File Description SizeFormat
es2017-60.pdf1,42 MBAdobe PDFView/Open

Exportar a Mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Base de Datos de Autoridades Biblioteca Universitaria Consultas / Sugerencias