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Spatio-Temporal Data Analytics for Wind Energy Integration
This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edición: | 1st ed. 2014. |
| Colección: | SpringerBriefs in Electrical and Computer Engineering,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-319-12319-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220119012128.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 141114s2014 sz | s |||| 0|eng d | ||
| 020 | |a 9783319123196 |9 978-3-319-12319-6 | ||
| 024 | 7 | |a 10.1007/978-3-319-12319-6 |2 doi | |
| 050 | 4 | |a TJ807-830 | |
| 072 | 7 | |a THX |2 bicssc | |
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| 100 | 1 | |a Yang, Lei. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Spatio-Temporal Data Analytics for Wind Energy Integration |h [electronic resource] / |c by Lei Yang, Miao He, Junshan Zhang, Vijay Vittal. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2014. | |
| 300 | |a VIII, 80 p. 34 illus. |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 Electrical and Computer Engineering, |x 2191-8120 | |
| 505 | 0 | |a Introduction -- A Spatio-Temporal Analysis Approach for Short-Term Forecast of Wind Farm Generation -- Support Vector Machine Enhanced Markov Model for Short-Term Wind Power Forecast -- Stochastic Optimization based Economic Dispatch and Interruptible Load Management -- Conclusions and Future Works. | |
| 520 | |a This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are carefully examined. A spatio-temporal analysis approach enables the authors to develop Markov-chain-based short-term forecasts of wind farm power generation. To deal with the wind ramp dynamics, a support vector machine enhanced Markov model is introduced. The stochastic optimization of economic dispatch (ED) and interruptible load management are investigated as well. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration. Advanced-level students studying electrical, computer and energy engineering should also find the content useful. | ||
| 650 | 0 | |a Renewable energy sources. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Energy policy. | |
| 650 | 0 | |a Energy and state. | |
| 650 | 0 | |a Electric power production. | |
| 650 | 1 | 4 | |a Renewable Energy. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Energy Policy, Economics and Management. |
| 650 | 2 | 4 | |a Electrical Power Engineering. |
| 650 | 2 | 4 | |a Mechanical Power Engineering. |
| 700 | 1 | |a He, Miao. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Zhang, Junshan. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Vittal, Vijay. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319123202 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319123189 |
| 830 | 0 | |a SpringerBriefs in Electrical and Computer Engineering, |x 2191-8120 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-12319-6 |z Texto Completo |
| 912 | |a ZDB-2-ENE | ||
| 912 | |a ZDB-2-SXEN | ||
| 950 | |a Energy (SpringerNature-40367) | ||
| 950 | |a Energy (R0) (SpringerNature-43717) | ||