Skip navigation
User training | Reference and search service

Library catalog

EDS
b-on
More
resources
Content aggregators
Please use this identifier to cite or link to this item:

acessibilidade

http://hdl.handle.net/10071/22106
acessibilidade
Title: A microservice-based framework for exploring data selection for cross-building knowledge transfer
Authors: Labiadh, M.
Obrecht, C.
Ferreira da Silva, C.
Ghodous, P.
Keywords: Data selection
Domain generalization
Knowledge transfer
Data-driven modeling
Energy consumption modeling
Issue Date: 2021
Publisher: Springer
Abstract: Supervised deep learning has achieved remarkable success in various applications. Successful machine learning application however depends on the availability of sufficiently large amount of data. In the absence of data from the target domain, representative data collection from multiple sources is often needed. However, a model trained on existing multi-source data might generalize poorly on the unseen target domain. This problem is referred to as domain shift. In this paper, we explore the suitability of multi-source training data selection to tackle the domain shift challenge in the context of domain generalization. We also propose a microservice-oriented methodology for supporting this solution. We perform our experimental study on the use case of building energy consumption prediction. Experimental results suggest that minimal building description is capable of improving cross-building generalization performances when used to select energy consumption data.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/22106
DOI: 10.1007/s11761-020-00306-w
ISSN: 1863-2386
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-75455
Accession number: WOS:000588279300001
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

Files in This Item:
acessibilidade
File Description SizeFormat 
2020-SOCA-POST-PRINT.pdfVersão Aceite679.74 kBAdobe PDFView/Open    Request a copy


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

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