| 書目名稱 | Nonlinear Modeling of Solar Radiation and Wind Speed Time Series |
| 編輯 | Luigi Fortuna,Giuseppe Nunnari,Silvia Nunnari |
| 視頻video | http://file.papertrans.cn/668/667568/667568.mp4 |
| 概述 | Shows the researcher and practising engineer how to use time-series forecasting to help integrate intermittent sources of renewable power into the grid.Teaches students the essentials of applied time- |
| 叢書名稱 | SpringerBriefs in Energy |
| 圖書封面 |  |
| 描述 | .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. |
| 出版日期 | Book 2016 |
| 關(guān)鍵詞 | Time-Series Analysis; Renewable Energy; Solar Radiation; Wind Power; Integration of Generating Capacity |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-38764-2 |
| isbn_softcover | 978-3-319-38763-5 |
| isbn_ebook | 978-3-319-38764-2Series ISSN 2191-5520 Series E-ISSN 2191-5539 |
| issn_series | 2191-5520 |
| copyright | The Author(s) 2016 |
|Archiver|手機版|小黑屋|
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