Nonlinear Modeling of Solar Radiation and Wind Speed Time Series

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Fortuna, Luigi (Συγγραφέας), Nunnari, Giuseppe (Συγγραφέας), Nunnari, Silvia (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:SpringerBriefs in Energy,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03326nam a22005415i 4500
001 978-3-319-38764-2
003 DE-He213
005 20160621035419.0
007 cr nn 008mamaa
008 160621s2016 gw | s |||| 0|eng d
020 |a 9783319387642  |9 978-3-319-38764-2 
024 7 |a 10.1007/978-3-319-38764-2  |2 doi 
040 |d GrThAP 
050 4 |a TJ807-830 
072 7 |a THX  |2 bicssc 
072 7 |a TEC031010  |2 bisacsh 
082 0 4 |a 621.042  |2 23 
100 1 |a Fortuna, Luigi.  |e author. 
245 1 0 |a Nonlinear Modeling of Solar Radiation and Wind Speed Time Series  |h [electronic resource] /  |c by Luigi Fortuna, Giuseppe Nunnari, Silvia Nunnari. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XV, 98 p. 57 illus., 49 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Energy,  |x 2191-5520 
505 0 |a Time-Series Methods -- Analysis of Solar-Radiation Time Series -- Analysis of Wind-Speed Time Series -- Prediction Models for Solar-Radiation and Wind-Speed Time Series -- Modeling Hourly Average Solar-Radiation Time Series -- Modeling Hourly Average Wind-Speed Time Series -- Clustering Daily Solar-Radiation Time Series -- Clustering Daily Wind-Speed Time Series -- Concluding Remarks. Appendix: List-of-Functions. 
520 |a 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. . 
650 0 |a Energy. 
650 0 |a Renewable energy resources. 
650 0 |a Statistics. 
650 0 |a Power electronics. 
650 0 |a Renewable energy sources. 
650 0 |a Alternate energy sources. 
650 0 |a Green energy industries. 
650 1 4 |a Energy. 
650 2 4 |a Renewable and Green Energy. 
650 2 4 |a Power Electronics, Electrical Machines and Networks. 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
700 1 |a Nunnari, Giuseppe.  |e author. 
700 1 |a Nunnari, Silvia.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319387635 
830 0 |a SpringerBriefs in Energy,  |x 2191-5520 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-38764-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENE 
950 |a Energy (Springer-40367)