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Spatiotemporal Data Analytics For Wind Energy Integration 1st Edition Lei Yang

  • SKU: BELL-4973260
Spatiotemporal Data Analytics For Wind Energy Integration 1st Edition Lei Yang
$ 31.00 $ 45.00 (-31%)

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Spatiotemporal Data Analytics For Wind Energy Integration 1st Edition Lei Yang instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 3.98 MB
Pages: 80
Author: Lei Yang, Miao He, Junshan Zhang, Vijay Vittal (auth.)
ISBN: 9783319123189, 3319123181
Language: English
Year: 2014
Edition: 1

Product desciption

Spatiotemporal Data Analytics For Wind Energy Integration 1st Edition Lei Yang by Lei Yang, Miao He, Junshan Zhang, Vijay Vittal (auth.) 9783319123189, 3319123181 instant download after payment.

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.

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