Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach
An indispensable aspect of human life is energy. The escalating global population and the subsequent rise in the human need for energy, coupled with the constraints of fossil fuels, have compelled researchers to explore innovative techniques for energy production and the adoption of renewable energy...
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REA Press
2024-03-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_192241_8c02afb7610dc2e9c00a7025acb7bf3e.pdf |
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| author | Reza Rasinojehdehi Seyyed Najafi |
| author_facet | Reza Rasinojehdehi Seyyed Najafi |
| author_sort | Reza Rasinojehdehi |
| collection | DOAJ |
| description | An indispensable aspect of human life is energy. The escalating global population and the subsequent rise in the human need for energy, coupled with the constraints of fossil fuels, have compelled researchers to explore innovative techniques for energy production and the adoption of renewable energy sources. The construction of renewable power plants emerges as a paramount solution for achieving clean energy, a strategy successfully implemented in various countries globally, including India, China, the USA, Central Asian nations, and Africa. Strategically located and blessed with significant solar potential, Iran is a promising candidate for establishing solar power plants. Despite its high potential for constructing solar power plants, Iran faces limitations that require careful consideration. Investing in renewable power plant projects in Iran necessitates addressing various risks and uncertainties. This paper introduces an innovative approach to assessing the risks associated with solar power plants, utilizing an integrated method that combines Data Envelopment Analysis (DEA) and Support Vector Machine (SVM). In the initial phase, DEA cross-efficiency measures risk factors derived from Failure Modes and Effects Analysis (FMEA). This approach not only overcomes certain drawbacks of FMEA but also eliminates several limitations of DEA, enhancing the discrimination capability for decision units. Subsequently, a SVM is developed to monitor the process, concluding with tailored risk treatment and monitoring processes specifically designed for the unique context of Iran's solar energy landscape. |
| format | Article |
| id | doaj-art-d1ea65f210584f5199e15a41d5c7616d |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2024-03-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-d1ea65f210584f5199e15a41d5c7616d2025-01-30T12:23:16ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-03-014111110.22105/bdcv.2024.447876.1178192241Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approachReza Rasinojehdehi0Seyyed Najafi1Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.An indispensable aspect of human life is energy. The escalating global population and the subsequent rise in the human need for energy, coupled with the constraints of fossil fuels, have compelled researchers to explore innovative techniques for energy production and the adoption of renewable energy sources. The construction of renewable power plants emerges as a paramount solution for achieving clean energy, a strategy successfully implemented in various countries globally, including India, China, the USA, Central Asian nations, and Africa. Strategically located and blessed with significant solar potential, Iran is a promising candidate for establishing solar power plants. Despite its high potential for constructing solar power plants, Iran faces limitations that require careful consideration. Investing in renewable power plant projects in Iran necessitates addressing various risks and uncertainties. This paper introduces an innovative approach to assessing the risks associated with solar power plants, utilizing an integrated method that combines Data Envelopment Analysis (DEA) and Support Vector Machine (SVM). In the initial phase, DEA cross-efficiency measures risk factors derived from Failure Modes and Effects Analysis (FMEA). This approach not only overcomes certain drawbacks of FMEA but also eliminates several limitations of DEA, enhancing the discrimination capability for decision units. Subsequently, a SVM is developed to monitor the process, concluding with tailored risk treatment and monitoring processes specifically designed for the unique context of Iran's solar energy landscape.https://www.bidacv.com/article_192241_8c02afb7610dc2e9c00a7025acb7bf3e.pdfcross efficiencypower plantfailure modes and effects analysisrisksupport vector machine |
| spellingShingle | Reza Rasinojehdehi Seyyed Najafi Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach Big Data and Computing Visions cross efficiency power plant failure modes and effects analysis risk support vector machine |
| title | Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach |
| title_full | Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach |
| title_fullStr | Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach |
| title_full_unstemmed | Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach |
| title_short | Advancing risk assessment in renewable power plant construction: an integrated DEA-SVM approach |
| title_sort | advancing risk assessment in renewable power plant construction an integrated dea svm approach |
| topic | cross efficiency power plant failure modes and effects analysis risk support vector machine |
| url | https://www.bidacv.com/article_192241_8c02afb7610dc2e9c00a7025acb7bf3e.pdf |
| work_keys_str_mv | AT rezarasinojehdehi advancingriskassessmentinrenewablepowerplantconstructionanintegrateddeasvmapproach AT seyyednajafi advancingriskassessmentinrenewablepowerplantconstructionanintegrateddeasvmapproach |