Name
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. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM) | integrated model, energy potentials, industrial sector |
Field | DocType | Citations |
Data modeling,Secondary sector of the economy,Systems engineering,Industrial engineering,Artificial intelligence,Engineering,Artificial neural network,Energy consumption,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olanrewaju, O.A. | 1 | 0 | 0.68 |
| j l munda | 2 | 0 | 0.34 |