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This paper presents a new combined method for the short-term load forecasting of electric power systems based on the Fuzzy c-means (FCM) clustering, particle swarm optimization (PSO) and support vector regression (SVR) techniques. The training samples used in this method are of the same data type as the learning samples in the forecasting process and(More)
The analysis and application of hybrid energy storage systems (HESSs) in small-scale standalone microgrids for remote area power supply (RAPS) has received extensive attention. This application mode has its own characteristics which must be considered but have not been considered in the existing research. To reflect the common satisfaction of load demands(More)
License plate recognition system (LPRS) is one of the most important parts of the intelligent transportation system (ITS), and the license plate location is the key part of the LPRS, it affects the latter phase of the character segmentation and recognition directly. According to the characteristic of the vehicle license plate which contains the slat and(More)
An improved fuzzy adaptive PID controller is proposed in the paper, in which the count of fuzzy quantity can be increased according to the practical situation. During operation period, the improved fuzzy adaptive PID controller can amend PID coefficients automatically to enhance dynamic characteristic of electronic speed governor according to gasoline(More)
A neural network model for representing the surface shape of stressed-lap was developed to facilitate a computer controlled optical polishing process. The dynamic change of the surface shape of the stressed lap during the operating process of polishing a large and highly aspheric optical surface is investigated. The original data from the micro displacement(More)
Regression analysis is used to analysis the changing rule between stressed-lap surface deformation and driving forces. And the multivariate regression model of stressed-lap surface deformation about driving forces is proposed. In the model, surface deformation is dependent variable, driving forces are argument. And the regression coefficients are solved by(More)
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