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.
Comparative study of short term load forecasting using multilayer feed forward neural network with back propagation learning and radial basis functional neural network,
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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.