A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting
Expert Systems with Applications(2021)
摘要
•A novel deep residual network with self-adaptive Dropout method is proposed.•A trilinear deep residual network solves vanishing gradient and exploding gradient.•The self-adaptive Dropout method sets the neuron drop ratio automatically.•The neural network ensemble method enhances the forecasting accuracy.•The performance of the proposed model is superior to other comparative models.
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关键词
Load forecasting,Deep residual network,Dropout,Ensemble learning,Deep learning
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