Applications of Artificial Neural Networks With Input and output Degradation data for Renewable Energy Systems Fault Prognosis

This paper deal with the application of neural networks (NN) for power systems failures prognosis. The NN-based prediction method is called long-term prediction, where predicted degradations are used to predict the degradation at a further future time. The proposed method predicts degradation accurately with very small uncertainty