Research on Asset Valuation of Power Grid Data Based on Optimizing Multi factor Cost Correction Model - Taking Huzhou Company as an Example

This article summarizes relevant literature on data assets both domestically and internationally, and concludes that foreign research mainly focuses on theoretical research, while domestic research tends to lean more towards the three traditional methods. Based on the characteristics of data assets in power grid enterprises, this paper summarizes three valuation models for power grid data assets: cost, revenue, and market, and explores the applicability of these methods to derive a data asset management framework. Based on the inherent value and application value of data, analyze the factors affecting the value of power grid data assets, construct a power grid data asset valuation model, quantify data assets, and verify their effectiveness and feasibility. Select relevant data application scenarios, sort out business models, data objects, and algorithm models, conduct data traceability analysis, and conduct valuation and development cost measurement collection analysis.