Research On Electricity Life Cycle Assessment Of Park Customers Based On Multi-dimensional Indicators

With the gradual liberalization of the electricity sales market,value-added services will become the company’s core competitiveness in winning electricity customers and seizing market share in electricity sales.Most of the park customers are high-quality customers,so the park will be a key area for power supply companies to provide valueadded services.However,at this stage,the management and analysis speed of power supply companies for park customers is far less than the growth rate of power consumption information and characteristics of various types of users.In order to promote the planning and development of the smart grid,make full use of the power consumption data in the park,improve the demand management on the power side and the value-added services for the park customers,a multi-dimensional index-based power consumption life cycle evaluation model for the park customers is established.The model relies on the power big data in the park.,analyze the user’s energy consumption characteristics,electricity consumption behavior patterns and trends,the interaction behavior between users and power supply companies,and the time series development trajectory of the relationship between power supply and consumption,from the four dimensions of growth activity index,electricity fluctuation stability,development maturity and user interaction.The user development level is evaluated to determine what stage the user is in in its entire life cycle.This paper first deeply analyzes and mines the big data of electricity customers,proposes to traverse the m RMR method for the extraction of electricity consumption data characteristics,and at the same time uses a combination method to predict the load and saturation of electricity customers in the next year,and then proposes a Gaussian kernel density local outlier factor algorithm to calculate the abnormal electricity consumption of electricity customers;secondly,to build a life cycle assessment model,analyze the life cycle principle and the characteristics of the life cycle stage of the electricity customers,and construct multi-dimensional intermediate indicators and basic feature indicators;and then the evaluation method is studied.In order to eliminate the huge error caused by the traditional entropy weight method when the entropy value is close to 1,the improved entropy weight method is used to obtain the weight of the basic index for the intermediate index,and then the combined method of TOPSIS and gray correlation degree analysis is used to calculate the monthly development level of each user,and the development level is fitted to obtain a life cycle curve that can predict the future development,and then divide the life cycle stage of the park user;finally,the article method is analyzed and compared with the traditional method,and the article method can more accurately grasp the change trend of user electricity consumption and interactive behavior at each stage.It is convenient for power supply enterprises to grasp and compare the development of different parks,and to formulate differentiated and precise power supply services and value-added services for different parks and different types of users according to the development situation and changing trends.