Add to ORKGGrey theory deals with systems that are characterized by poor information or for which information is lacking. This study presents an improved grey GM (1, 1) model, using a technique that combines residual modification with Markov Chain model. We use energy consumption and supply of Iran to test the accuracy of proposed model. The results show that the Markov Chain residual modification model achieves reliable and precise results. Keywords: Grey Forecasting Model; Markov Chain; Energy System JEL Classifications: C15; C53; C6
Electricity Generation and Forecasting is prerequisite to enhance industrialization, farming and res...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
The importance of accurate energy demand modelling has increased to support the decision making of p...
Grey theory is about systematic analysis of limited information. The Grey-Markov model can improve t...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...
[[abstract]]Grey theory is an effective method to solve uncertainty problems with discrete data and ...
AbstractThe demand for energy supply has been increasing dramatically in recent years in the global....
This Energy consumption forecast is vital and has a great economic impact. Mathematical models devel...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
In this paper, we propose an optimal fractional-order accumulative Grey Markov model with variable p...
Grey prediction models for time series have been widely applied to demand forecasting because only l...
Energy demand is an important economic index, and demand forecasting has played a significant role i...
Population growth, technological developments, economical growth and efforts to achieve a high stand...
Forecasting electricity consumption is a very important issue for governments and electricity relate...
Gri teori, zayıf bilgi veya bilgilerin eksik olduğu sistemlerle ilgilenen etkili bir teoridir. Bu te...
Electricity Generation and Forecasting is prerequisite to enhance industrialization, farming and res...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
The importance of accurate energy demand modelling has increased to support the decision making of p...
Grey theory is about systematic analysis of limited information. The Grey-Markov model can improve t...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...
[[abstract]]Grey theory is an effective method to solve uncertainty problems with discrete data and ...
AbstractThe demand for energy supply has been increasing dramatically in recent years in the global....
This Energy consumption forecast is vital and has a great economic impact. Mathematical models devel...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
In this paper, we propose an optimal fractional-order accumulative Grey Markov model with variable p...
Grey prediction models for time series have been widely applied to demand forecasting because only l...
Energy demand is an important economic index, and demand forecasting has played a significant role i...
Population growth, technological developments, economical growth and efforts to achieve a high stand...
Forecasting electricity consumption is a very important issue for governments and electricity relate...
Gri teori, zayıf bilgi veya bilgilerin eksik olduğu sistemlerle ilgilenen etkili bir teoridir. Bu te...
Electricity Generation and Forecasting is prerequisite to enhance industrialization, farming and res...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
The importance of accurate energy demand modelling has increased to support the decision making of p...