AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- GCGM (1,1) to overcome the lack of existed gray model and made accurate forecasting of electricity consumption for power engineering. A case study using the power engineering data of China is presented to demonstrate the effectiveness of our approach
Short-term electricity load forecasting is one of the most important operations in electricity marke...
Clean energy can not only alleviate environmental problems but also contribute to rapid and sustaina...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- G...
Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and ...
AbstractThe demand for energy supply has been increasing dramatically in recent years in the global....
Prediction of electricity consumption plays critical roles in the economy. Accurate electricity cons...
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 ...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
AbstractGrey model is usually been used for long-term load forecasting in power engineering, but it ...
[[abstract]]The aim of this project is to develop an online electricity demand predictor. In this pa...
Electricity Generation and Forecasting is prerequisite to enhance industrialization, farming and res...
Accurate and reliable forecasting on annual electricity consumption will be valuable for social proj...
Short-term electricity load forecasting is one of the most important operations in electricity marke...
Clean energy can not only alleviate environmental problems but also contribute to rapid and sustaina...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
AbstractThis paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- G...
Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and ...
AbstractThe demand for energy supply has been increasing dramatically in recent years in the global....
Prediction of electricity consumption plays critical roles in the economy. Accurate electricity cons...
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 ...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
AbstractGrey model is usually been used for long-term load forecasting in power engineering, but it ...
[[abstract]]The aim of this project is to develop an online electricity demand predictor. In this pa...
Electricity Generation and Forecasting is prerequisite to enhance industrialization, farming and res...
Accurate and reliable forecasting on annual electricity consumption will be valuable for social proj...
Short-term electricity load forecasting is one of the most important operations in electricity marke...
Clean energy can not only alleviate environmental problems but also contribute to rapid and sustaina...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...