학술논문
Machine Learning-Based Condition Monitoring of Solar Photovoltaic Systems: A Review
Document Type
Conference
Source
2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Electrical and Computer Engineering (CCECE), 2022 IEEE Canadian Conference on. :49-54 Sep, 2022
Subject
Language
ISSN
2576-7046
Abstract
Due to independency from physical models and low cost of implementation, machine learning-based condition monitoring methods for solar photovoltaic (PV) systems have recently gained attentions from academia and industry. In this paper, a literature review is conducted on machine learning applications in condition monitoring of PV systems. Different types of faults in PV systems and the general categorization of PV condition monitoring are firstly introduced. Machine learning-based PV condition monitoring are discussed in three groups, shallow, hybrid, and deep networks. The future research direction in this area is also provided in the paper.