Spatio-Temporal Data Analytics for Wind Energy Integration

• Κύριοι συγγραφείς: Yang, Lei (Συγγραφέας), He, Miao (Συγγραφέας), Zhang, Junshan (Συγγραφέας), Vittal, Vijay (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Energy.; Renewable energy resources.; Energy policy.; Energy and state.; Data mining.; Electric power production.; Renewable energy sources.; Alternate energy sources.; Green energy industries.; Renewable and Green Energy.; Data Mining and Knowledge Discovery.; Energy Policy, Economics and Management.; Energy Technology.

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...

Πίνακας περιεχομένων:

• 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.