大葉大學圖書館 |

Nonlinear modeling of solar radiation and wind speed time series[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	519.55
書名/作者:	Nonlinear modeling of solar radiation and wind speed time series/ by Luigi Fortuna, Giuseppe Nunnari, Silvia Nunnari.
作者:	Fortuna, Luigi.
其他作者:	Nunnari, Giuseppe.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xv, 98 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Solar radiation - Mathematical models.
標題:	Winds - Speed
標題:	Energy.
標題:	Renewable and Green Energy.
標題:	Power Electronics, Electrical Machines and Networks.
標題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
標題:	Time-series analysis.
ISBN:	9783319387642
ISBN:	9783319387635
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-38764-2

Nonlinear modeling of solar radiation and wind speed time series[electronic resource] /
Fortuna, Luigi.

Nonlinear modeling of solar radiation and wind speed time series[electronic resource] /by Luigi Fortuna, Giuseppe Nunnari, Silvia Nunnari. - Cham :Springer International Publishing :2016. - xv, 98 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in energy,2191-5520. - SpringerBriefs in energy..

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.

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.

ISBN: 9783319387642

Standard No.: 10.1007/978-3-319-38764-2doiSubjects--Topical Terms:

594941
Solar radiation
--Mathematical models.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Nonlinear modeling of solar radiation and wind speed time series[electronic resource] /
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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.
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