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Short term wind power prediction is one of the effective ways to cope with the operational problems caused by the variability of the wind energy resource when a large penetration of wind power is integrated into electric power systems. In this paper, a model combining a Genetic Algorithm with a Piecewise Support Vector Machine (GA-PSVM) is developed that improves the precision of short term wind power...
The arithmetic of wind power prediction plays an important part in the development of wind power prediction. In this paper, based on the principles of support vector machine (SVM) and wavelet, the wavelet SVM model for short term wind power prediction is built up along with analyzing the characteristics of power curves of wind turbine generator systems. The operation data from a wind farm in North...
Addition of Renewable resources in a power system will have significant impact on power generation. Generation Companies (GenCos) characteristics will change according to the availability of new resources. Wind power as a representative and the most common-used renewable energy resource is studied in this paper. Although wind speed is simplified and represented by multistate models, load point reliability...
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