AbstractGrey model is usually been used for long-term load forecasting in power engineering, but it has significant limitations. If the moving average method and Markov model are connected with grey model, the accuracy of this improved grey model used for long-term load forecasting in power engineering can be effectively increased. In this paper, ordinary grey model and improved grey model are all chosen and used for long-term power load forecasting in power engineering, and the power load data of Qingdao in the past decade is selected for the analysis. The result of the analysis shows that the accuracy of improved grey model is significant higher than ordinary model, so the improved grey model can be used for long-term load forecasting in ...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
The accurate prediction of industrial power consumption is conducive to the effective allocation of ...
AbstractAn important feature of smart grid is the intelligent power distribution function based on l...
In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
Short-term electricity load forecasting is one of the most important operations in electricity marke...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
AbstractThe demand for energy supply has been increasing dramatically in recent years in the global....
Due to the limitations of a single power load forecasting model, the power load forecasting cannot b...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
As an important part of power system planning and the basis of economic operation of power systems, ...
AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- G...
The rapid development of electric vehicles (EVs) makes the load of electric vehicle charging station...
[[abstract]]The purpose of this study is to study contract capacity of power demand by utilizing gra...
Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and ...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
The accurate prediction of industrial power consumption is conducive to the effective allocation of ...
AbstractAn important feature of smart grid is the intelligent power distribution function based on l...
In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
Short-term electricity load forecasting is one of the most important operations in electricity marke...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
AbstractThe demand for energy supply has been increasing dramatically in recent years in the global....
Due to the limitations of a single power load forecasting model, the power load forecasting cannot b...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
As an important part of power system planning and the basis of economic operation of power systems, ...
AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- G...
The rapid development of electric vehicles (EVs) makes the load of electric vehicle charging station...
[[abstract]]The purpose of this study is to study contract capacity of power demand by utilizing gra...
Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and ...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
The accurate prediction of industrial power consumption is conducive to the effective allocation of ...
AbstractAn important feature of smart grid is the intelligent power distribution function based on l...