Spatio-Temporal Data Analytics for Wind Energy Integration

by Vijay Vittal, Junshan Zhang, Miao He, et al.

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...

• Format: Paperback
• Language: English
• ISBN: 3319123181
• ISBN13: 9783319123189
• Release Date: December 2014
• Publisher: Springer
• Length: 80 Pages
• Weight: 0.30 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"