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As a quick access recorder (QAR) loaded on the plane, QAR data records hundreds of parameter data produced in the process of flying. But these data are not currently being used effectively. It is becoming increasingly necessary to use QAR data for fault prediction. First, the technical route of the civil aircraft fault prediction is illustrated. Second, four fault prediction methods of civil aircraft...
For intro-hour solar power forecasting approaches with sky images, the computing for cloud motion is very necessary. In this paper, a cloud displacement estimation method for sky images based on phase correlation theory is proposed. By Fourier transforming, the image matrix in frequency domain is obtained and then the cross-power spectrum of two adjacent sky images can be calculated. According to...
A classified irradiance forecast approach for solar PV prediction is proposed based on wavelet decomposition. The Daubechies wavelet is chose to decompose the irradiance series measured in the PV plant into approximate component and detailed component. The trend and variability of irradiance series are estimated respectively based on the two components. Then all the available irradiance data are labeled...
The tracking and forecasting of cloud is very important for ultra-short term photovoltaic power forecast with sky images. To recognize clouds deformation and tracking clouds motion in sky images, an optimization model is constructed in this paper. In a binary sky image, the shape and position of a cloud can be represented by a set of coordinates of cloud border points, and the deformation and motion...
As one of the most related parameters of photovoltaic (PV) power generation, the temperature of PV modules and its prediction play very important role in PV power forecasting. A short-term step-wise temperature prediction model for PV module based on back propagation (BP) neural network is proposed in this paper. Firstly, the impact factors of PV module temperature are determined according to the...
The accuracy of photovoltaic (PV) power forecasting decreases drastically under cloudy weather due to the rapid, violent and irregular fluctuation of solar irradiance. Therefore, to improve the accuracy of PV power forecasting, a detailed study on the influence of clouds in different movement and evolution patterns on solar irradiance is very necessary. The classification and recognition of different...
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