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In order to improve the accuracy of electricity consumption forecasting in smart grid, a novel penalized weighted kernel partial least squares algorithm is presented. The original inputs are mapped into a high dimensional feature space to realize the linearization of nonlinear problems. The partial least squares algorithm is used to extract the principal component to reduce the dimensional of data...
In this paper, a tracking system with multi-sensors is presented, in which a sub-orbit USV (unmanned space vehicle) of wave-rider shape is tracked by a TDRS (Tracking and Data Relay Satellite) and ground stations. Because of high lift-drag ratio and maneuverability, the vehicle, once is used in reentering purpose, a complicated trajectory will be produced and cause big challenges for tracking facilities...
Both kinematics and measurement model help process the trajectory data and estimate aerodynamic parameters of vehicle. In this paper, three dynamics are proposed, which are aerodynamics parameter's model, acceleration's model and α - β - γ model. The measurement model is TDRS (Tracking and Data Relay Satellite), which produces a complicated trajectory in reentering purpose. A fuzzy IMM algorithm is...
The construction of Smart Grid will comprehensively enhance the intelligent level of every step in the power grid of our country. The data forecasting ability determines the quality of smart grid. As a result of this, this paper constructs the background value of grey GM (1, 1) model by using threepoint Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction...
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