Recurrent Neural Networks for Short-Term Load Forecasting An Overview and Comparative Analysis /
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...
| Main Authors: | Bianchi, Filippo Maria (Author), Maiorino, Enrico (Author), Kampffmeyer, Michael C. (Author), Rizzi, Antonello (Author), Jenssen, Robert (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
| Series: | SpringerBriefs in Computer Science,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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