Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks
A Master of Science thesis in Engineering Systems Management by Nada Abdul Qader Omar Yahya entitled, “Anomaly Detection Based Framework for Profile Monitoring”, submitted in December 2022. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval Signature...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | doctoralThesis |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/25348 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513432922882048 |
|---|---|
| author | Yahya, Nada Abdul Qader Omar |
| author_facet | Yahya, Nada Abdul Qader Omar |
| author_role | author |
| dc.contributor.none.fl_str_mv | Hussein, Noha |
| dc.creator.none.fl_str_mv | Yahya, Nada Abdul Qader Omar |
| dc.date.none.fl_str_mv | 2022-12 2023-09-19T05:46:57Z 2023-09-19T05:46:57Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2022.64 http://hdl.handle.net/11073/25348 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Solar power tower Levelized cost of energy Field optical efficiency Artificial neural networks |
| dc.title.none.fl_str_mv | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Engineering Systems Management by Nada Abdul Qader Omar Yahya entitled, “Anomaly Detection Based Framework for Profile Monitoring”, submitted in December 2022. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). |
| format | doctoralThesis |
| id | aus_b4f33c034125617ddd27b0dfe80a6909 |
| identifier_str_mv | 35.232-2022.64 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/25348 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural NetworksYahya, Nada Abdul Qader OmarSolar power towerLevelized cost of energyField optical efficiencyArtificial neural networksA Master of Science thesis in Engineering Systems Management by Nada Abdul Qader Omar Yahya entitled, “Anomaly Detection Based Framework for Profile Monitoring”, submitted in December 2022. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Hussein, Noha2023-09-19T05:46:57Z2023-09-19T05:46:57Z2022-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2022.64http://hdl.handle.net/11073/25348en_USoai:repository.aus.edu:11073/253482025-06-26T12:23:49Z |
| spellingShingle | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks Yahya, Nada Abdul Qader Omar Solar power tower Levelized cost of energy Field optical efficiency Artificial neural networks |
| status_str | publishedVersion |
| title | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| title_full | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| title_fullStr | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| title_full_unstemmed | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| title_short | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| title_sort | Optimizing a Concentrated Solar Power Tower Plant using Artificial Neural Networks |
| topic | Solar power tower Levelized cost of energy Field optical efficiency Artificial neural networks |
| url | http://hdl.handle.net/11073/25348 |