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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...
Failures and reliability prediction in engine systems have attracted much attention over the past decades. Soft computing techniques have been widely studied and successfully applied to engine system reliability prediction with the ability to deal with high non-linearity. However, the development of conventional soft computing techniques involves many difficulties such as the selection of inputs to...
Although traditional approaches can yield accurate forecasting results of energy consumption, they may suffer from several limitations such as the need for large dataset and the linear assumption. Two novel hybrid dynamic approaches, which are based on the SMN (single multiplicative neuron) model and the iterated nonlinear filters, have been proposed for forecasting energy consumption with small dataset...
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