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Appl. Sci. 2017, 7(6), 624; doi:10.3390/app7060624

Efficiency Evaluation of Operation Analysis Systems Based on Dynamic Data Envelope Analysis Models from a Big Data Perspective

1
School of Economics and Management, North China Electric Power University, Beijing 102206, China
2
State Grid Energy Research Institute, Beijing 102209, China
3
Department of Economics and Management, Yan’an University, Shanxi 716000, China
4
Deltac Energy Technology Co. Ltd., Beijing 100084, China
*
Author to whom correspondence should be addressed.
Academic Editors: Francesco Melino and Lisa Branchini
Received: 14 April 2017 / Revised: 12 June 2017 / Accepted: 12 June 2017 / Published: 16 June 2017
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Abstract

The operating environment of power grid enterprises is complex with a range of monitoring indicators. To grasp the overall operational status in time and find the key affecting factors, Balanced Scorecard Card (BSC), Interpretive Structural Model (ISM), Principal component analysis (PCA) should be applied. This paper proposed several grid enterprise operators and monitoring indicator systems (which include achievement indicators and driver indicators), and applied PCA for verification and evaluation. The achievement indicators mainly reflected the effectiveness of business operations, which included corporate value, social value, customer value, and so on. Driver indicators mainly reflected the core resources and operations process management of business operations, which have a direct impact on the achievement indicators. The driver and achievement indicators were used as input and output indicators for the provinces to assess the efficiency of operations, and appropriate measures were proposed for improvement. The results showed that the dynamic data envelopment analysis (DEA) model could reflect the time lag of the grid enterprises operating investment and income much better than the other two methods, and the static changes compared to assess efficiency had an average around 4%. View Full-Text
Keywords: distributed energy; achievement indicator; drive indicator; efficiency assessment; big data distributed energy; achievement indicator; drive indicator; efficiency assessment; big data
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Sun, Y.; Yu, X.; Tan, Z.; Xu, X.; Yan, Q. Efficiency Evaluation of Operation Analysis Systems Based on Dynamic Data Envelope Analysis Models from a Big Data Perspective. Appl. Sci. 2017, 7, 624.

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