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  • eBook:Recurrent Neural Networks for Short-Term Load Forecasting

    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
    978-3-319-70338-1
    2017
    Edition 1
    • Presents a comparative study on short-term load forecasting, using different classes of state-of-the-art recurrent neural networks
    • Describes tests of the models on both controlled synthetic tasks and on real datasets
    • Provides a general overview of the most important architectures, and defines guidelines for configuring the recurrent networks to predict real-valued time series
    • Includes supplementary material: sn.pub/extras

    €140

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