TY - GEN
T1 - Research on the quality and efficiency evaluation model of power full business scheduling based on multi-dimensional feature fusion
AU - Wen, Zhang
AU - Yan, Chen
AU - Hongbo, Guo
AU - Jiangbo, Yin
AU - Xuejiao, Wang
AU - Liang, Chen
AU - Chun, Zhou
AU - Yajing, Zhu
AU - Jing, Zhao
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - The existing work order-driven power business dispatching mode has become difficult to meet the requirements of service quality and efficiency assessment. The research has established a dynamic comprehensive evaluation model for the quality and efficiency of all-service power dispatching. It includes three dimensions: the quality and efficiency of overall business scheduling, the quality and efficiency of back-end support, and the quality and efficiency of service implementation. It has established a multi-level comprehensive evaluation index system. Considering the correlation and uncertainty among the indicators. A subjective and objective combined weighting method combining the Analytic Hierarchy Process and the entropy weight method is proposed. Quantify the correlation between each dimension and the overall level of scheduling. Intelligent evaluation overcomes the limitations of independent index assumptions in traditional evaluation methods. It can effectively quantify and evaluate the overall quality and efficiency level of the entire scheduling process. It provides reliable decision support for power enterprises to optimize resource allocation, improve service quality and operational efficiency.
AB - The existing work order-driven power business dispatching mode has become difficult to meet the requirements of service quality and efficiency assessment. The research has established a dynamic comprehensive evaluation model for the quality and efficiency of all-service power dispatching. It includes three dimensions: the quality and efficiency of overall business scheduling, the quality and efficiency of back-end support, and the quality and efficiency of service implementation. It has established a multi-level comprehensive evaluation index system. Considering the correlation and uncertainty among the indicators. A subjective and objective combined weighting method combining the Analytic Hierarchy Process and the entropy weight method is proposed. Quantify the correlation between each dimension and the overall level of scheduling. Intelligent evaluation overcomes the limitations of independent index assumptions in traditional evaluation methods. It can effectively quantify and evaluate the overall quality and efficiency level of the entire scheduling process. It provides reliable decision support for power enterprises to optimize resource allocation, improve service quality and operational efficiency.
KW - Power full-service dispatching
KW - combined weighting
KW - intelligent decision-making
KW - multi-dimensional feature fusion
KW - quality and efficiency evaluation
UR - https://www.scopus.com/pages/publications/105037446403
U2 - 10.1109/ICPEGE67691.2026.11451415
DO - 10.1109/ICPEGE67691.2026.11451415
M3 - 会议稿件
AN - SCOPUS:105037446403
T3 - 2026 IEEE International Conference on Power, Electronics and Green Energy, ICPEGE 2026
SP - 124
EP - 128
BT - 2026 IEEE International Conference on Power, Electronics and Green Energy, ICPEGE 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE International Conference on Power, Electronics and Green Energy, ICPEGE 2026
Y2 - 28 January 2026 through 30 January 2026
ER -