Short-term wind power prediction using Least-Square Support Vector Machines

Abstract

This paper presents a short-term prediction scheme of wind power from wind speed data using Least-Square Support Vector Machines (LS-SVM). The paper develops different LS-SVM models that make use of atmospheric temperature and take advantage of the periodicity of the wind speed data. Results show that atmospheric temperature and using the periodic trend… (More)

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