Ciência-IUL
Publications
Publication Detailed Description
Journal Title
Service Oriented Computing and Applications
Year (definitive publication)
2021
Language
English
Country
United Kingdom
More Information
Web of Science®
Scopus
Google Scholar
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.
Acknowledgements
--
Keywords
Data selection,Domain generalization,Knowledge transfer,Data-driven modeling,Energy consumption modeling
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Other Engineering and Technology Sciences - Engineering and Technology
Funding Records
Funding Reference | Funding Entity |
---|---|
UIDB/04466/2020 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.