Title :
Efficient assessment of Electric Power company in Inner Mongolia by rule ensemble
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
Evaluation of power enterprise has becoming a focus of electricity industry since market reformation. Operation datum of nine subsidiaries of Inner Mongolia Power Group Co., Ltd was collected. Indexes weights were obtained by AHP. Considering experts´ preferences, it is more reasonable to view weights as random variables. Assessment values of sample were calculated by simulation. Rule ensembles algorithm was applied to fit assessment function. The order of 9 constituent companies showed that the smallest Wuhai Electric Power-Supply Bureau had the most efficiency. Its operation experiences deserve extension.
Keywords :
electricity supply industry; power markets; Inner Mongolia; electric power company; electricity industry; market reformation; Algorithm design and analysis; Companies; Electricity; Indexes; Machine learning; Machine learning algorithms; Power systems; Power enterprise; comprehensive assessment; rule ensembles;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035555
