A TensorFlow-based deep auto-encoder model is proposed for short-term electric load forecasting and claimed to outperform traditional neural networks in accuracy and stability.
Application of gray sys- tem theory in load forecasting [j],
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Short-term Electric Load Forecasting Using TensorFlow and Deep Auto-Encoders
A TensorFlow-based deep auto-encoder model is proposed for short-term electric load forecasting and claimed to outperform traditional neural networks in accuracy and stability.