Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load ...
With the dramatic increase of energy demand and the continuous increase of power system operation pr...
The analysis of load characteristics of large industrial users is the basis for understanding the wa...
In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting...
Regarding analysis of load characteristics of a power grid, there are multiple factors that influenc...
China faces the problems of abandoning wind and light and environmental pollution. Energy conservati...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
Load side management is the basic and significant principle to keeping the balance between generatio...
Aiming to the complexity of vibration fault cause, the great many of fault parameters in hydroelectr...
[[abstract]]The utility center is the most important power supplier in campus. Once the power of uti...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
The load-flow study is a numerical analysis of the flow of electric power in an interconnected syste...
AbstractGrey model is usually been used for long-term load forecasting in power engineering, but it ...
There are many kinds of industry loads, and different types of them have different characteristics. ...
The grid structures, load levels, and running states of distribution networks in different supply re...
The market behaviors of the supply and demand sides in the power market are the issues that market p...
With the dramatic increase of energy demand and the continuous increase of power system operation pr...
The analysis of load characteristics of large industrial users is the basis for understanding the wa...
In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting...
Regarding analysis of load characteristics of a power grid, there are multiple factors that influenc...
China faces the problems of abandoning wind and light and environmental pollution. Energy conservati...
Power load forecasting provides the basis for the preparation of power planning, especially the accu...
Load side management is the basic and significant principle to keeping the balance between generatio...
Aiming to the complexity of vibration fault cause, the great many of fault parameters in hydroelectr...
[[abstract]]The utility center is the most important power supplier in campus. Once the power of uti...
Prediction is important for the electricity capacity management. Accurate prediction can help the po...
The load-flow study is a numerical analysis of the flow of electric power in an interconnected syste...
AbstractGrey model is usually been used for long-term load forecasting in power engineering, but it ...
There are many kinds of industry loads, and different types of them have different characteristics. ...
The grid structures, load levels, and running states of distribution networks in different supply re...
The market behaviors of the supply and demand sides in the power market are the issues that market p...
With the dramatic increase of energy demand and the continuous increase of power system operation pr...
The analysis of load characteristics of large industrial users is the basis for understanding the wa...
In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting...