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Based on the GM(1, 1) theory, this paper studies the deficiency in power load forecasting. combining the regression model, the paper proprose a new method to forecast the power load. In this paper, the grey model GM(1, 1) is hybridized into the regression model. This results in grey regression model, which is explained detailedly in succession. Based on an example, the basic grey model and grey regression...
In developing a stock price forecasting model, the first step is usually feature extraction. Nonlinear independent component analysis (NLICA) is a novel feature extraction technique to find independent sources given only observed data that are mixtures of the unknown sources, without prior knowledge of the mixing mechanisms. It assumes that the observed mixtures are the nonlinear combination of latent...
Multi-variable grey dynamic forecasting model is a main model of grey systems theory. In this paper, we constructed the discrete grey model of multi-variables. We contrasted the model with GM (n, h) model and the result showed two models are equal to each other through data transformation. Then we could build the bridge of discrete grey model and traditional grey model. Based on this conclusion we...
In this study, the application of independent component analysis (ICA), a new feature extraction method, and support vector regression (SVR) in time series prediction is presented. The proposed method first use ICA as preprocessing to transform the input space composed of original time series data into the feature space consisting of independent components (ICs) representing underlying information/features...
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