Multi-dimensional scenario forecast for generation of multiple wind farms

Multi-dimensional scenario forecast for generation of multiple wind farms

A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed. In the proposed approach, support vector machine (SVM) is applied for the spot forecast of wind power generation. The pro...

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Bibliographic Details
Main Authors: Ming Yang, You Lin, Simeng Zhu, Xueshan Han, Hongtao Wang
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Wind power generation forecast
Multidimensional scenario forecast
Support vector machine (SVM)
Sparse Bayesian learning (SBL)
Gaussian copula
Dynamic conditional correlation matrix
Online Access:https://ieeexplore.ieee.org/document/9005365/

Internet

https://ieeexplore.ieee.org/document/9005365/

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