Design And Implementation Of Power Marketing Management Information System For State Grid In Baotou City

With the popularization of information technology and the change of energy development pattern,economic development is increasingly dependent on electricity,relying on information technology,communication technology and system control technology to develop smart grid,to achieve its development mode of reform,as the international power industry common choice.Rapid response to market demand,accurate measurement and billing,timely collection of electricity data,rich charging methods to improve the reliability of power transmission,security and economy is the development of power companies and objectives.This paper mainly aims at the improvement of existing users' electricity consumption information collection system,which can meet the requirements of operation management,data acquisition,public query,line loss analysis and daily function of power consumption for existing user electricity consumption information collection system.This paper introduces the development of user information collection technology,system design and development process,from the database design data design to the program framework design,and then to achieve the results show.Second,in order to predict and discover the unusual situation in marketing,the article describes the use of forecast data and the actual data for comparison,found the marketing process of the exception.The main method is the user data collection system data as historical data.According to the historical data,the PLS(partial least squares method)is used to find the multiple regression equation between the predicted value of the city and each factor.The fuzzy time series is used to estimate the predicted value ofeach region of the factor A,and finally the multiple regression equation is obtained.Year or a month A forecast of regional electricity demand.In order to solve the abnormal forecasting in the process of power marketing,it is necessary to forecast the consumption of electricity in the A region by using the method of PLS and fuzzy time series to judge the occurrence of anomaly.Firstly,the K-plex clustering algorithm is used to find out the core factors that affect the power demand.Then,the PLS regression equation is constructed with the core factors,and then the fuzzy time series is used to forecast the electricity consumption for the next time period.And the actual use of electricity to compare,to determine whether there are abnormalities.