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Aggiungi al carrelloHardcover. Condizione: Brand New. har/psc edition. 116 pages. 9.00x6.00x0.50 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 3319387634 ISBN 13: 9783319387635
Da: moluna, Greven, Germania
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Editore: Springer International Publishing, 2016
ISBN 10: 3319387634 ISBN 13: 9783319387635
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This brief is a clear, concise description of the main techniques of time series analysis -stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.- as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques.The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques.Results are well-illustrated by figures and tables.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Jun 2016, 2016
ISBN 10: 3319387634 ISBN 13: 9783319387635
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This brief is a clear, concise description of the main techniques of time series analysis ¿stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.¿ as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques.The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques.Results are well-illustrated by figures and tables.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch.
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Jun 2016, 2016
ISBN 10: 3319387634 ISBN 13: 9783319387635
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This brief is a clear, concise description of the main techniques of time series analysis -stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.- as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques.The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques.Results are well-illustrated by figures and tables. 116 pp. Englisch.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Nonlinear Modeling of Solar Radiation and Wind Speed Time Series | Luigi Fortuna (u. a.) | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783319387635 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.