Téléchargez le livre : Spatio-Temporal Data Analytics for Wind Energy Integration

Spatio-Temporal Data Analytics for Wind Energy Integration

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Éditeur :

Springer


Collection :

SpringerBriefs in Electrical and Computer Engineering

Paru le : 2014-11-14

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Description
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.
Pages
80 pages
Collection
SpringerBriefs in Electrical and Computer Engineering
Parution
2014-11-14
Marque
Springer
EAN papier
9783319123189
EAN EPUB
9783319123196
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
1413 Ko
Prix
52,74 €

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