Forecast of residential energy consumption market based on grey Markov chain

In the circumstance of electricity market, it is very necessary for an electric utility to be clear about market distribution of residential energy consumption in future. with the data from Qinhuangdao electricity market investigation, Markov model with grey transfer probability matrix have been constructed on residential energy consumption items such as heating, cooking, cooling etc., we could do market distribution forecast in those energy consumption items in next term as well in an arbitrary term in future, which tells us in which subdivision market the electricity company has advantage or not, and it is valuable reference to be realize the prospect of electricity as well others category energy in every subdivision market in order to make corresponding sales management strategy.