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Improving the accuracy of power system load forecasting is important for economic dispatch. However, a load sequence is highly nonstationary and hence makes accurate forecasting difficult. In this paper, a method based on wavelet decomposition (WD) and a second-order gray neural network combined with an augmented Dickey–Fuller (ADF) test is proposed to improve the accuracy of load forecasting. First,...
Taiwanese economy is extremely export-oriented. However, Taiwan also starts to actively look for opportunities for participation, because of the slowdown of multinational liberalizations, and as a result of the advance of the regional economic integration trend. As an example, Taiwan vigorously participates in FTAs with countries in Asia and Central America. International economic conditions are significantly...
According to the nonlinearity of the industrial process, it is difficult for traditional predictive control algorithm to establish an accurate mathematical model. In the paper, a two-step predictive control algorithm based on the least square support vector machine (LS-SVM) is proposed. In this algorithm, the nonlinear system is turned into linear system by adding the appropriate intermediate variables...
In this paper, a forecasting method, combining grey model (GM) with partial least squares regression (PLS), was applied to forecasting city terminal energy consumption for the first time. PLS is of the advantage of overcoming the correlative affect among independent variables, distinguishing the system signal from noises, and explaining dependent variables well; GM (1, 1) model is able to overcome...
With the applications of predictive control in the process control, the research of algorithm and theory about the predictive control has also achieved great development. Dynamic Matrix Control (DMC) algorithm is a prediction-control algorithm based on the objectpsilas step response. It is suitable for the control systems which are complicate and difficult to build accurate mathematical models. This...
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