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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Yang, Lei (Auteur), He, Miao (Auteur), Zhang, Junshan (Auteur), Vittal, Vijay (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2014.
Édition:1st ed. 2014.
Collection:SpringerBriefs in Electrical and Computer Engineering,
Sujets:
Renewable energy sources.
Data mining.
Energy policy.
Energy and state.
Electric power production.
Renewable Energy.
Data Mining and Knowledge Discovery.
Energy Policy, Economics and Management.
Electrical Power Engineering.
Mechanical Power Engineering.
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