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 and Sancho Salcedo-Sanz
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María Pérez-Ortiz: Department of Quantitative Methods, Universidad Loyola Andalucía, 14004 Córdoba, Spain
Silvia Jiménez-Fernández: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
Pedro A. Gutiérrez: Department of Computer Science and Numerical Analysis, Universidad de Córdoba, 14071 Córdoba, Spain
Enrique Alexandre: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain
César Hervás-Martínez: Department of Computer Science and Numerical Analysis, Universidad de Córdoba, 14071 Córdoba, Spain
Sancho Salcedo-Sanz: Department of Signal Processing and Communications, Universidad de Alcalá, 28805 Alcalá de Henares, Spain

Energies, 2016, vol. 9, issue 8, 1-27

Abstract: 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: classification algorithms; machine learning; renewable energy; applications (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

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