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Research 0n Key Technologies Of Power Consumption Behavior Analysis Based On Big Data Technology

Posted on:2018-11-13Degree:MasterType:Thesis
Country:ChinaCandidate:Q L HaoFull Text:PDF
GTID:2348330518460789Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the establishment of the coordination mechanism of marketing and distribution integration,together with the opening-up of the distribution data,the electricity consumption data of customers can be correlated with data such as customer information and payment details etc.The customer's electricity data implies the characteristic of customers' electricity consumption behavior,therefore a thorough and deep study of these data and customer types can help the state grid understand various requirements of the customers' personalized and differentiated service.Furthermore.It can boost the state grid for further expanding of the depth and breadth of service,which can provide data support for the formulation of side response policy of power requirements in the future.Firstly,this Paper identified the data sources of electricity consumption behavior from both external and internal data through deep analysis study work based on Big Data Technology.Also we analyzed the existing analysis methods of electricity consumption behavior,and implemented an updated program based on all defects.Furthermore,we also studied to improve the algorithms of data analysis.Secondly,we elaborated on the construction model of the electricity consumption analysis.It described the modeling idea of electricity consumption analysis model in details and studied the characteristic and behavior of electricity consumption of the main power grid,also studied mass customer consumption behavior with the mode of the main power grid combined with the electricity consumption mode of the main power grid.Accordingly we used the mode matching technology to match the main power electricity consumption mode and massive customer electricity consumption mode under the mode,then we established the matching relationship between the peak and rock bottom accordingly to the past records.We also validated the model of electricity consumption analysis with the demonstration study work.Last but not least,we elaborated on the design of system structure,system function& system database towards the electrical behavior analysis management software.Also we illustrated the achievement of system implementation.Therefore,the analysis software of electricity behavior analysis can be more accurate to analyze the behavior of electricity consuming customers,and the management software ofelectricity consumption behavior analysis can be used to analyze the electricity consumption behavior of the customers accurately,which is helpful for the state grid corporation to guide the user to be more personalized with intelligent electricity consumption.All in all,it is of constructive significance to improve the side energy efficiency management level of power grid.
Keywords/Search Tags:Electricity Consumption Characteristics, Electricity Consumption Behavior, Pattern Matching, Clustering Algorithm
PDF Full Text Request
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