Real-Time Fault Detection in Solar PV Systems Using Hybrid ANN – SVM Machine Learning Algorithm
Keywords:
Real-Time Fault Detection, Artificial Neural Network (ANN), Support Vector Machine (SVM), classification.Abstract
Real-Time Fault Detection in Solar PV Systems is crucial for maintaining the reliability and efficiency of these systems. This paper proposes a Hybrid Artificial Neural Network (ANN) with Support Vector Machine (SVM) approach for real-time fault detection in solar PV systems. The hybrid approach combines the strengths of both algorithms to achieve better performance. The ANN is used to extract the features from the data, and the SVM is used for classification. The proposed approach can improve the accuracy and speed of fault detection in real-time, making it an effective tool for maintaining the reliability and efficiency of solar PV systems.
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