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Accurate short-term wind speed forecasting is very important to improve the security and stability of power grid and to reduce the running cost. In this paper, a method based on Least squares support vector machine (LS-SVM) was proposed to the short-term forecasting. In order to avoid the blindness and inaccuracy of Parameter selection, Genetic algorithm is used to select the optimal regularization...
Power System Security is a major concern in real time operation. Conventional method of security evaluation consists of performing continuous load flow and transient stability studies by simulation program. This is highly time consuming and infeasible for on-line application. Pattern Recognition (PR) is a promising tool for on-line security evaluation. This paper proposes a Support Vector Machine...
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