Research and Application of Data Evaluation Methods Based on Energy Big Data Characterization
To achieve efficient and accurate evaluation of the value of energy data assets and promote its circulation,a method for energy data evaluation based on the characteristics of energy data assets is proposed.We focus on the characterization of energy big data and examine three key factors that influence asset valorization:data quality,data cost,and data application.Through the introduction of data quality factors,we develop a Sigmoid function based value link function which reflects the nonlinear characteristics between data value u-tilization and data quality,and form a data quality evaluation system in conjunction with business operations.Additionally,we propose a cost evaluation method based on energy data application scenarios and the data asset life cycle perspective,as well as a multi-dimensional application evaluation method.Data quality factors significantly affect the application value of energy data,while improving data quality will increase the cost of data assets.The application results of typical energy big data assetization scenarios indicate that the energy data e-valuation method proposed effectively achieves quality evaluation,cost evaluation,and application evaluation,and has applicability and scalability,which can support energy data value evaluation in the future.
energy big datadata evaluationdata qualitydata costdata applicationdata asset value evaluation
万方数据
维普
