To achieve efficient and accurate evaluation of the value of energy data assets and promote its circulation,a method for energydata evaluation based on the characteristics of energy data assets is proposed. We focus on the characterization of energy big data andexamine three key factors that influence asset valorization:data quality,data cost,and?data application. Through the introduction of dataquality factors,we develop a Sigmoid function based value link function which reflects the nonlinear characteristics between?
data value utilization and data quality,and form a data quality evaluation system in conjunction with business operations. Additionally,we propose acost evaluation method based on energy data application scenarios and the data asset life cycle perspective,as well as a multi-dimensionalapplication evaluation method. Data quality factors significantly affect the application value of energy data,while improving data qualitywill increase the cost of data assets. The application results of typical energy big data assetization scenarios indicate that the energy data evaluation method proposed effectively achieves quality evaluation,cost evaluation,and application evaluation,and has applicability andscalability,which can support energy data value evaluation in the future.