Enrico Maiorino's Books

Recurrent Neural Networks for Short-Term Load Forecasting

An Overview and Comparative Analysis

By: Filippo Maria Bianchi,Enrico Maiorino,Michael C. Kampffmeyer,Antonello Rizzi,Robert Jenssen

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Recurrent Neural Networks for Short-Term Load Forecasting

An Overview and Comparative Analysis

By: 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 thus been devoted to the design and development of methodologies for short term load forecasting over the past decades. A class of mathematical models, called Recurrent Neural Networks, are nowadays gaining renewed interest among researchers and they are replacing many practical implementations of the forecasting systems, previously based on static methods. Despite the undeniable expressive power of these architectures, their recurrent nature complicates their understanding and poses challenges in the training procedures. Recently, new important families of recurrent architectures have emerged and their applicability in the context of load forecasting has not been investigated completely yet. This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks. The authors test the reviewed models first on controlled synthetic tasks and then on different real datasets, covering important practical cases of study. The text also provides a general overview of the most important architectures and defines guidelines for configuring the recurrent networks to predict real-valued time series.

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Springer

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ISBN 10

3319703382

ISBN 13

9783319703381

Nuclear Analytical Methods in the Life Sciences 1994

By: Jan Kucera,Ivan Obrusník,Enrico Sabbioni

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Nuclear Analytical Methods in the Life Sciences 1994

By: Jan Kucera,Ivan Obrusník,Enrico Sabbioni

Nuclear Analytical Methods in the Life Sciences •1994 is a forefront survey of key presentations from the 1993 International Conference on Nuclear Analytical Methods in the Life Sciences. Sponsored by the International Atomic Energy Agency (IAEA), this useful volume covers the spectrum of multidisciplinary research on both the methodological aspects and the development of nuclear analytical methods and their applications in the life sciences. The book is divided into six sections covering related material. These sections are: Methodology of Nuclear Analytical Methods; Environmental Applications; Biomedical Applications; Analysis of Biological Samples; Quality Assurance and Comparison with Other Methods; and a section dealing with miscellaneous issues, such as programs offered by the IAEA.

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715

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Springer Science & Business Media

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ISBN 10

1475760256

ISBN 13

9781475760255

Recurrent Neural Networks for Short-Term Load Forecasting

An Overview and Comparative Analysis

By: Filippo Maria Bianchi,Enrico Maiorino,Michael C. Kampffmeyer,Antonello Rizzi,Robert Jenssen

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Recurrent Neural Networks for Short-Term Load Forecasting

An Overview and Comparative Analysis

By: Filippo Maria Bianchi,Enrico Maiorino,Michael C. Kampffmeyer,Antonello Rizzi,Robert Jenssen

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N/A

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Solve jigsaw puzzle

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Publisher

Springer

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ISBN 10

3319703382

ISBN 13

9783319703381

Book's by Enrico Maiorino

Recurrent Neural Networks for Short-Term Load Forecasting

Recurrent Neural Networks for Short-Term Load Forecasting

Nuclear Analytical Methods in the Life Sciences 1994

Nuclear Analytical Methods in the Life Sciences 1994

Recurrent Neural Networks for Short-Term Load Forecasting

Recurrent Neural Networks for Short-Term Load Forecasting

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