输入输出退化人工神经网络在可再生能源系统故障预测中的应用

2021 12th International Renewable Energy Congress (IREC) Pub Date : 2021-10-26 DOI:10.1109/IREC52758.2021.9624894

Arij Nasfia Hayder, L. Saidi

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引用次数: 1

摘要

研究了神经网络在电力系统故障预测中的应用。基于神经网络的预测方法被称为长期预测，其中预测的退化用于预测未来更远时间的退化。该方法预测精度高，不确定度小

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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

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2021 12th International Renewable Energy Congress (IREC)

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