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Failure and reliability prediction in engine systems have attracted much attention over the past decades. However, this task remains challenging due to the stochastic nature and dynamic uncertainty of failure and reliability time series data. Two novel approaches for reliability prediction are developed in this study by integrating least square support vector machine (LSSVM) and the iterated nonlinear...
Wind speed prediction is one important methods to guarantee the wind energy integrated into the whole power system smoothly. However, wind power has a non–schedulable nature due to the strong stochastic nature and dynamic uncertainty nature of wind speed. Therefore, wind speed prediction is an indispensable requirement for power system operators. Two new approaches for hourly wind speed prediction...
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