Recurrent Neural Networks for Short-Term Load Forecasting An Overview and Comparative Analysis /

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...

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Bibliographic Details
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:
Computer science.
Computer software > Reusability.
Computer system failures.
Artificial intelligence.
Power electronics.
Computer Science.
Artificial Intelligence (incl. Robotics).
System Performance and Evaluation.
Power Electronics, Electrical Machines and Networks.
Energy Efficiency.
Performance and Reliability.
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ΒΚΠ - Πατρα: ALFd

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Call Number: 330.01 BAU
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Call Number: 330.01 BAU
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