Measuring Technological Progress of Smart Grid Based on Production Function Approach
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Production function theory combined with data envelopment analysis (DEA) and ridge regression analysis (RRA) is applied to evaluate the technological progress of the smart grid.
The feasible conditions of production function models are determined by the DEA algorithm.
RRA is applied to estimate the relevant parameters of the evaluation models under study.
One of the significant steps in the design of the assessment algorithm is the structure of production function models.
Therefore, the Cobb-Douglas, constant elasticity of substitution, and translog production functions are employed to evaluate the technological progress of the smart grid, respectively.
The results of analysis and calculation mainly include the DEA relative efficiency, slacks in inputs and outputs of inefficient units, estimated parameters, and quantitative indices of technological progress.
American Psychological Association (APA)
Han, Dong& Yan, Zheng. 2014. Measuring Technological Progress of Smart Grid Based on Production Function Approach. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1046512
Modern Language Association (MLA)
Han, Dong& Yan, Zheng. Measuring Technological Progress of Smart Grid Based on Production Function Approach. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1046512
American Medical Association (AMA)
Han, Dong& Yan, Zheng. Measuring Technological Progress of Smart Grid Based on Production Function Approach. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1046512
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046512