Add to ORKGThis paper applies fuzzy theory into electric power forecasting. The author analyzed the main factors related to the electric power consumption with grey correlation method and concluded that the Gross Domestic Product and industrial value to electric power consumption in Shanxi Province have higher correlation coefficient than other factors. Based on GM(1,1), the paper forecasts the electric power consumption from 2003 to 2020. By proof-test, the estimated result can reflect the real consumption of electric power with high forecast precision
Prediction of electricity consumption plays critical roles in the economy. Accurate electricity cons...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
Electricity consumption forecast is perceived to be a growing hot topic in such a situation that Chi...
Based on fuzzy theory, the major social and economic factors influencing electric power consumption ...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and ...
[[abstract]]The purpose of this study is to study contract capacity of power demand by utilizing gra...
A simple model was built to predict the national and regional electricity demand by sectors under Ch...
In recent years, the phenomenon of wind and solar energy abandoned in Xinjiang’s new energy has beco...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
The accurate prediction of industrial power consumption is conducive to the effective allocation of ...
The total electricity consumption in China includes almost all the electricity consumption from all ...
AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- G...
[[abstract]]The aim of this project is to develop an online electricity demand predictor. In this pa...
Prediction of electricity consumption plays critical roles in the economy. Accurate electricity cons...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
Electricity consumption forecast is perceived to be a growing hot topic in such a situation that Chi...
Based on fuzzy theory, the major social and economic factors influencing electric power consumption ...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and ...
[[abstract]]The purpose of this study is to study contract capacity of power demand by utilizing gra...
A simple model was built to predict the national and regional electricity demand by sectors under Ch...
In recent years, the phenomenon of wind and solar energy abandoned in Xinjiang’s new energy has beco...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
The accurate prediction of industrial power consumption is conducive to the effective allocation of ...
The total electricity consumption in China includes almost all the electricity consumption from all ...
AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- G...
[[abstract]]The aim of this project is to develop an online electricity demand predictor. In this pa...
Prediction of electricity consumption plays critical roles in the economy. Accurate electricity cons...
Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only...
Electricity consumption forecast is perceived to be a growing hot topic in such a situation that Chi...