Download the fantastic book titled Spatio Temporal Data Analytics for Wind Energy Integration written by Lei Yang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Spatio Temporal Data Analytics for Wind Energy Integration", which was released on 14 November 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Spatio Temporal Data Analytics for Wind Energy Integration by Lei Yang PDF
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.
Detail About Spatio Temporal Data Analytics for Wind Energy Integration PDF
- Author : Lei Yang
- Publisher : Springer
- Genre : Technology & Engineering
- Total Pages : 80 pages
- ISBN : 331912319X
- Release Date : 14 November 2014
- PDF File Size : 21,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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