Recurrent neural networks for short-term load forecasting : an overview and comparative analysis / Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen.

The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system. Significant research has thu...

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Bibliographic Details

Online Access:	Full Text (via Springer)
Other Authors:	Bianchi, Filippo Maria, Maiorino, Enrico, Kampffmeyer, Michael C., Rizzi, Antonello, Jenssen, Robert
Format:	eBook
Language:	English
Published:	Cham : Springer, 2017.
Series:	SpringerBriefs in computer science.
Subjects:	Neural networks (Computer science)