Spatio-Temporal Data Analytics for Wind Energy Integration

• Main Authors: Yang, Lei (Author), He, Miao (Author), Zhang, Junshan (Author), Vittal, Vijay (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: 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...

Table of Contents:

• 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.