Based on the study on the variation curves lasting from 2003 of electricity demand intensity of the sectors such as the secondary industry and tertiary industry, heavy industry and light industry, black metals, nonferrous metals and building materials industry, this paper discusses the results of implementation of the mac.

According to the traffic signal theory,minutely analyzing vehicles queuing up on stop line,and presetting the traffic flux function of no crowd junction,and defining the value district of signal period and green to signal,so the concept of traffic demand intensity and relative demand intensity is put forward and considered as the standard of traffic management in junctions.

Using the idea and method of queuing theory, the stochastic inventory model is established presented in form of state probability for one sort of time_effective products, in which the supply intensity is constant but to be determined, the demand intensity is known already, but the demanding amount is stochastic.

And then based on it,the relationship among the market demand,product design and commercializing is discussed,and a model of demand intensity is established.

Value at risk and its application to the management of power demand prediction;

Impact of electricity-price fluctuation on power demands for different consumers;

Influence of macro-economic situation on power demand in Jiangxi;

Study on the unit root process of structure change for China s electric power demand;

Analytical approach to the influence factors of China s electric power demand;

The electric power demand of East China Power Grid keeps increasing in recent years and the growth of its maximum load was a little bit slower in 2007.

Research on application of gray econometric model in medium and long term electricity demand forecasting;

Analysis on influencing factors of electricity demand by using interpretative structural modeling

China's Electricity Demand Forecast under Urbanization Process