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.
A wide range of unit load changes will cause changes in the dynamic characteristics of the controlled object greatly for boiler-turbine system. The paper proposed a predictive control algorithm based on integrated weighted output of multi-model for boiler-turbine system. The algorithm built some local linear models at different stable operating points, and model predictive controller for each point...
The volatility of load time series is noteworthy in load forecating analysis. Considering the characteristic of time-varying variance, a feasible method of short term load forecasting based on Stochastic Volatility (SV) models is presented. The Quasi Maximum Likelihood Estimate (QMLE) is brought in to specify the standard SV model. The model is transformed into state space form, and the Kalman filter...
Short term wind forecasting is a very important work to the operation of wind farms and power systems. In this paper, ARCH (Autoregressive Conditional Heteroscedasticity) effects of wind data series are analyzed with Eviews software. Firstly, an ARMA (Autoregressive Moving Average) model of wind speed time series is built. Secondly, ARCH (Autoregressive Conditional Heteroscedasticity) effect of the...
Without wind energy, nothing more than load forecast error is taken into account by system operation and there are already many available methodologies for unit commitment. However, by more wind farm penetration in electrical power production, the reliability of the generation system will decrease, because of the fluctuation and the partial unpredictability of wind power production. As a result, conventional...
In order to predict warpage of chip-in-substrate package, finite element analysis was carried out with modeling layers in chip and substrate and effective thermoelastic properties. The effects of design parameters such as pattern on the gap between chip and cavity, number of circuit layers, thickness and face direction of the chip, and gap width were investigated. The result shows that the warpage...
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.