# Knowledge-Graph-Based Integrated Line Loss Evaluation Management System
## 5 Construction of a Mapping of Management Cases for Comprehensive Line Loss Evaluation
### Data Analysis and Experimental Platform
In order to address the impact of the interaction between the comprehensive assessment indicators of line loss on the system assessment, the DEMATEL method was employed to elucidate the relationship between the indicators. A total of 50 experts with a wealth of theoretical knowledge and field experience were invited to distinguish the indicators into cause factors and result factors. The degree of interaction between the various risk factors was scored in accordance with the rules of the DEMATEL analysis of influencing factors, as illustrated in Table 2. The scoring of the thirteen indicators and the comprehensive impact matrix are presented in Supplementary Materials File S2. The parameters set forth in the table header of Supplementary Materials File S2 are analogous to those delineated in Supplementary Materials Table S1. The approach taken in Supplementary Materials Table S3 is based on the established model of the factors that influence power loss data. By consulting relevant literature and experts, the influencing factors are evaluated and assigned a score on a scale of 0 to 4. This scale is used to classify the direct influence between the influencing factors, with 0 indicating no influence, 1 indicating a small influence, 2 indicating general influence, 3 indicating a large influence, and 4 indicating a very large influence. The corresponding scores between two factors indicate the degree of influence exerted by one factor on the other. The final values in the direct influence matrix are determined based on the relationships between the various influencing factors as evidenced in a substantial corpus of documents, thereby yielding the direct influence matrix. The centrality-influence diagram of each influencing factor in loss management is illustrated in Supplementary Materials Figure S3. A higher centrality value indicates a greater importance of the influencing factor in comparison to other factors. The term \"influence degree\" is employed to signify the extent to which a specific influencing factor exerts influence over other influencing factors. In the event that the influence degree is negative, this indicates that the influencing factor is susceptible to being affected by other factors. As illustrated in Supplementary Materials Figure S3, both the centrality and the influence are positive for Indicator 11, indicating that this indicator is significantly associated with other indicators and is more likely to affect other indicators. The data pertaining to the line loss management of the Nanning City project were selected as a representative sample for the purpose of scoring the project's line loss management level indicators. The degree of information redundancy was calculated, and the weights were determined using the entropy weight method in accordance with the aforementioned degree of information redundancy. The weights of each index within the comprehensive evaluation index system for line loss management are presented in Table 3.  
Comparison of Comprehensive Line Loss Evaluation Results under Ablation Evaluation Methods and Post-Hoc Tests  
The standardized raw data presented in Tables 2 and 3, in conjunction with the combined index weights derived from the fuzzy DEMATEL and entropy weight methods, were employed to calculate the Euclidean distance between the positive and negative ideal solutions of the line loss abatement management capability utilizing Equation (12). Subsequently, the target layer affinity of the line loss management capability of the 11 electric power enterprises in 2014 was determined through the application of Equation (13), and the results were ranked in accordance with the magnitude of the affinity, as illustrated in Table 4. The results are presented in Table 4. The weighted normalization matrices of the DEMATEL-TOPSIS and Entropy TOPSIS evaluation methods for line loss management in Naming City in 2014 are provided in Supplementary Materials File S3.