Junshan Zhang

Spatio-Temporal Data Analytics for Wind Energy Integration

ISBN: 978-3-319-12319-6
EAN: 9783319123196
Produktnummer: 18256393
Verlag: Springer
Sprache: Englisch
Erscheinungsjahr: 2014
Plattform: PDF
Masse: 4&#039;095 KB

Ebook (PDF Format)

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… Mehr