The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Semi-parametric regression model prediction method based on empirical mode decomposition was studied in this paper. Firstly, basic idea of the empirical mode decomposition was introduced, and the improved algorithm was proposed to mitigate the end effect in the iterative shift process. Secondly, least squares method was employed to estimate the parameter β based on the trend component of empirical...
Due to the fluctuation and complexity of the financial time series, it is difficult to use any single artificial technique to capture its non-stationary property and accurately describe its moving tendency. So a novel hybrid intelligent forecasting model based on empirical mode decomposition (EMD) and support vector regression (SVR) is proposed. EMD can adaptively decompose the complicated raw data...
A novel intelligent fault diagnosis model for flue gas turbine based on EMD (Empirical mode decomposition) and VPRS (Variable precision rough set) theories, is proposed in order to solve the difficult problems of knowledge information acquisition and improve fault diagnosis accuracy in practice. This model combines EMD and VPRS techniques. First EMD signal processing technique is employed to excavate...
Wind speed forecasting is significant to the security and stability of electric power system. Aiming to forecast wind speed more efficiently, a hybrid forecasting method based on empirical mode decomposition(EMD) and time-series analysis has been presented in this paper. Employing the EMD technique to decompose the original data into a residue and many intrinsic mode function(IMF) components, which...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.