The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA)
Energy is essential parameter for economic – social development and quality of life. Sustainable energy is requisite for any economic growth. Nowadays, new options for producing energyand using technologies for its production are reproducible. So, the choice of technology is very important. In this...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education, Iran
2014-03-01
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| Series: | Journal of Applied Research on Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.journal-aprie.com/article_43012.html |
| _version_ | 1819137892161683456 |
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| author | Fershteh Poorahangaryan Ali Shahbi Esmaeel Nabiee |
| author_facet | Fershteh Poorahangaryan Ali Shahbi Esmaeel Nabiee |
| author_sort | Fershteh Poorahangaryan |
| collection | DOAJ |
| description | Energy is essential parameter for economic – social development and quality of life. Sustainable energy is requisite for any economic growth. Nowadays, new options for producing energyand using technologies for its production are reproducible. So, the choice of technology is very important. In this article, 6 different renewable powers has evaluated using Hybrid model of Artificial-Neural Network (ANN) and data envelopment analysis base on economic- technical indicators. Because, the low number of inputs and outputs of decision making units, (DMUs), leading to a reduction a separable power of DMUs at traditional DEA, so the NEURO-DEA was used the simulation results shows that off-shore wind energy have high efficiency rather than other studied energy. |
| first_indexed | 2024-12-22T10:58:05Z |
| format | Article |
| id | doaj.art-004d2402bcc7422c9e0b082c21e3a897 |
| institution | Directory Open Access Journal |
| issn | 2538-5100 |
| language | English |
| last_indexed | 2024-12-22T10:58:05Z |
| publishDate | 2014-03-01 |
| publisher | Ayandegan Institute of Higher Education, Iran |
| record_format | Article |
| series | Journal of Applied Research on Industrial Engineering |
| spelling | doaj.art-004d2402bcc7422c9e0b082c21e3a8972022-12-21T18:28:33ZengAyandegan Institute of Higher Education, IranJournal of Applied Research on Industrial Engineering2538-51002014-03-01111927The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA)Fershteh Poorahangaryan0Ali Shahbi1Esmaeel Nabiee2Faculty of engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.Faculty of engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.Faculty of engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.Energy is essential parameter for economic – social development and quality of life. Sustainable energy is requisite for any economic growth. Nowadays, new options for producing energyand using technologies for its production are reproducible. So, the choice of technology is very important. In this article, 6 different renewable powers has evaluated using Hybrid model of Artificial-Neural Network (ANN) and data envelopment analysis base on economic- technical indicators. Because, the low number of inputs and outputs of decision making units, (DMUs), leading to a reduction a separable power of DMUs at traditional DEA, so the NEURO-DEA was used the simulation results shows that off-shore wind energy have high efficiency rather than other studied energy.http://www.journal-aprie.com/article_43012.htmldata envelopment analysis ( dea)artificial-neural network (ann) |
| spellingShingle | Fershteh Poorahangaryan Ali Shahbi Esmaeel Nabiee The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA) Journal of Applied Research on Industrial Engineering data envelopment analysis ( dea) artificial-neural network (ann) |
| title | The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA) |
| title_full | The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA) |
| title_fullStr | The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA) |
| title_full_unstemmed | The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA) |
| title_short | The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA) |
| title_sort | evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis neuro dea |
| topic | data envelopment analysis ( dea) artificial-neural network (ann) |
| url | http://www.journal-aprie.com/article_43012.html |
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