DocumentCode :
3733027
Title :
Integrated model for analyzing industrial energy potential
Author :
O. A. Olanrewaju;J. L. Munda
Author_Institution :
Centre for Energy and Electric Power, Tshwane University of Technology, Pretoria, South Africa
fYear :
2015
Firstpage :
919
Lastpage :
922
Abstract :
Various studies have proved integrated models to analyze better than single models in the dynamics of energy variables quantification. The present study is a developed integrated Index Decomposition Analyses (IDA), Artificial Neural Network (ANN) and Data Envelopment Analyses (DEA). This model quantifies the industrial sector´s possible energy potentials. The considered variables of the study include activity, structure and intensity. Presentation of results to various applications of the model is expressed in this study.
Keywords :
"Mathematical model","Analytical models","Energy consumption","Predictive models","Artificial neural networks","Data models","Computational modeling"
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/IEEM.2015.7385782
Filename :
7385782
Link To Document :
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