WIND POWER PREDICTION BASED ON WT-BIGRU-ATTENTION-TCN MODEL

Wind power prediction based on WT-BiGRU-attention-TCN model

Accurate wind power prediction is crucial for the safe and stable operation of the power grid.However, wind power generation has large random volatility and intermittency, which increases the difficulty of prediction.In order to construct an effective prediction model based on wind power generation power and achieve stable grid dispatch after wind

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Machine Learning Pipeline for Power Electronics State of Health Assessment and Remaining Useful Life Prediction

Power electronic devices are integral to numerous applications in modern technology.The non-linear degradation and subsequent abrupt failure of these devices demand regular State of Health (SoH) checkups as well as accurate prediction of their Remaining Useful Life (RUL).SoH and RUL enable efficient maintenance planning, cost-effective resource all

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Deep Learning-Based Defect Prediction for Mobile Applications

Smartphones have enabled the widespread use of mobile Soccer - Clothing Junior Tops applications.However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience.To avoid this, the defects of applications should be detected and removed before release.This study aims to develop a defect pred

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