Application of Grey Theory to Ionospheric Short-term Forecasting

Application of Grey Theory to Ionospheric Short-term Fo- recasting

By analysis of historical data of the ionosphere, it is suggested to apply grey theory to ionospheric short-term forecasting, grey range information entropy is defined to determine the optimum grey length of the sample sequence, the prediction model based on residual error is constructed, and the observation data of multiple ionospheric observation stations in China are adopted for test. The pr...

Application of Grey Theory to the Field of Economic Forecasting

Grey theory was proposed by Prof. Deng [1] for more than 30 years. It has been successfully applied in many academic fields, such as electrical engineering, education, mechanical engineering, agriculture, high-tech sectors and so on [2-8]. Grey theory is famous for easy calculation and satisfactory result. Comparing to other methods, grey theory need only as few as four data could be modeled to...

Application of Improved Grey Prediction Model to Short Term Load Forecasting

The grey model GM(1,1) based on the grey system theory has recently emerged as a powerful tool for short term load forecasting (STLF) problem. Since GM(1,1) is only first order dynamic grey model, the accuracy is not satisfactory when original data show great randomness. In this paper, we proposed improved dynamic mode GM(2,1) to enhance forecasted accuracy. Then it is applied to improve STLF p...

Short - Term Load Forecasting

This paper presents a novel hybrid method for short-term load forecasting. The system comprises of two artificial neural networks (ANN), assembled in a hierarchical order. The first ANN is a multilayer perceptron (MLP) which functions as integrated load predictor (ILP) for the forecasting day. The output of the ILP is then fed to another, more complex MLP, which acts as an hourly load predictor...

Short-Term Weather Forecasting