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Spatio-Temporal Data Analytics for Wind Energy Integration
Yang, Lei; He, Miao; Zhang, Junshan; Vittal, Vijay
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Description for Spatio-Temporal Data Analytics for Wind Energy Integration
paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 88 pages, 34 black & white illustrations, 15 black & white tables, biography. BIC Classification: THX. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 5. Weight in Grams: 150.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
88
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
80
Place of Publication
Cham, Switzerland
ISBN
9783319123189
SKU
V9783319123189
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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