Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier
Solar Energy(2019)
摘要
•Hotspot detection and categorization for solar PV modules.•Thermographic and image analysis.•Detection achieved by training the machine learning algorithm.•Naive Bayes (nBayes) classifier as the machine learning algorithm.•Experimental tests demonstrate the high recognition rate of the method.
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关键词
Photovoltaic (PV) modules,Monitoring,Hotspots,Texture and histogram of gradient (HOG) features,Thermographic assessment,Thermal images,Naive Bayes classifier,Machine learning
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