LAPSE

LAPSE:2019.0117
Published Article
LAPSE:2019.0117
A Review of Classification Problems and Algorithms in Renewable Energy Applications
María Pérez-Ortiz, Silvia Jiménez-Fernández, Pedro A. Gutiérrez, Enrique Alexandre, César Hervás-Martínez, Sancho Salcedo-Sanz
January 7, 2019
Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in the last few years, contributing to the deployment, management and optimization of RE systems. The main objective of this paper is to review the most important classification algorithms applied to RE problems, including both classical and novel algorithms. The paper also provides a comprehensive literature review and discussion on different classification techniques in specific RE problems, including wind speed/power prediction, fault diagnosis in RE systems, power quality disturbance classification and other applications in alternative RE systems. In this way, the paper describes classification techniques and metrics applied to RE problems, thus being useful both for researchers dealing with this kind of problem and for practitioners of the field.
Keywords
applications, classification algorithms, Machine Learning, Renewable and Sustainable Energy
Suggested Citation
Pérez-Ortiz M, Jiménez-Fernández S, Gutiérrez PA, Alexandre E, Hervás-Martínez C, Salcedo-Sanz S. A Review of Classification Problems and Algorithms in Renewable Energy Applications. (2019). LAPSE:2019.0117
Author Affiliations
Pérez-Ortiz M: Department of Quantitative Methods, Universidad Loyola Andalucía, 14004 Córdoba, Spain
Jiménez-Fernández S: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain [ORCID]
Gutiérrez PA: Department of Computer Science and Numerical Analysis, Universidad de Córdoba, 14071 Córdoba, Spain
Alexandre E: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
Hervás-Martínez C: Department of Computer Science and Numerical Analysis, Universidad de Córdoba, 14071 Córdoba, Spain
Salcedo-Sanz S: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
8
Article Number
E607
Year
2016
Publication Date
2016-08-02
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9080607, Publication Type: Review
Record Map
Published Article

LAPSE:2019.0117
This Record
External Link

doi:10.3390/en9080607
Publisher Version
Download
Files
[Download 1v1.pdf] (1.1 MB)
Jan 7, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
120
Version History
[v1] (Original Submission)
Jan 7, 2019
 
Verified by curator on
Jan 7, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2019.0117
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version