نتایج جستجو برای: gray forecasting
تعداد نتایج: 82557 فیلتر نتایج به سال:
The article analyzes the effectiveness of preventive anti-corruption measures in countries European Union EU. study involved comparison and forecasting methods. results showed that EU is leading its efforts to develop legislative initiatives their implementation at national international level. Whistle-blower protection laws adopted are important tools for exposing illegal activities committed ...
Demand forecasting is one of the important activities in a supply chain which provides all the supply chain planning processes with market information crucial for efficient supply chain management. Its performance is measured by forecasting error, which is defined using the difference between forecast and actual sales. In this paper, we classify the forecasting error types based on the cases th...
China’s wind power has developed rapidly in the past few years, the large-scale penetration of which will bring big influence on power systems. The wind speed forecasting research is quite important because it can alleviate the negative impacts. This paper reviews the current wind speed forecasting techniques in China. The literature (written in Chinese) sources and classification were firstly ...
Despite several individual forecasting models that have been proposed in the literature, accurate forecasting is yet one of the major challenging problems facing decision makers in various fields, especially financial markets. This is the main reason that numerous researchers have been devoted to develop strategies to improve forecasting accuracy. One of the most well established and widely use...
To procure the status of groundwater level fluctuations in arid and semi-arid areas, it is necessary to obtain accurate forecast of fluctuations data. Time series as a linear model have been utilized to generate synthetic data and predict future groundwater level. Minitab17 software and monthly depth of groundwater level data of 20 years (1991-2011) for 25 piezometric wells of plain were used. ...
In this paper, we propose a new residual analysis method using Fourier series transform into fuzzy time series model for improving the forecasting performance. This hybrid model takes advantage of the high predictable power of fuzzy time series model and Fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...
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