Research And Implementation Of Electricity Marketing Load Management System For Regional Power Supply Corporation

Under the environment of the present reform of electric market, the quality of electricpower marketing work will directly relate to regional electric power company's owndevelopment and determine the market competitiveness of the company. Power load canreflect the power consuming situation of the area,so load management has importantsignificance for electric power marketing. The thesis researches and analyses the existing prediction method, especially theartificial neural network model and provides analysises of concrete calculating example.Thepredict precision can be improved by combined forecast model which combines the result ofmany kinds of forecast method.Then the thesis puts forward the classified load structuremodel ,and analyzes the load curve to get the approximately value of the seasonal load.At last,the thesis shows the function module design and software realization of the electric powermarketing load management system.