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$ 1500 電子書 | Spatio-Temporal Data Analytics for Wind Energy Integration
作者:Lei Yang,Miao He,Junshan Zhang,Vijay Vittal 出版社:Springer International Publishing 出版日期:2014-11-14 語言:英文 樂天KOBO - 工業與專業 - 來源網頁   看圖書介紹 |
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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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