Use of Machine Learning In Weather Forecasting : (Record no. 171902)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04391namaa22004451i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20250506121305.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250505s2024 ua a|||fr|m|| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 500.5 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 500.5 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.12.01.Ph.D.2024.Mo.U. |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Moetasm Hashem ElTaweel, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Use of Machine Learning In Weather Forecasting : |
| Remainder of title | Application to Surface Wind / |
| Statement of responsibility, etc. | By Moetasm Hashem ElTaweel; Under Supervision of Prof. Mohamed Magdy Abdel Wahab, Prof.ElSayed Mohamed AbdelHamed Robaa, Prof. Stéphane Alfaro, Dr.Guillaume Siour |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | استخدام التعلم الآلي في التنبؤ بالطقس: |
| Remainder of title | تطبيق علي الرياح السطحية / |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 83 pages : |
| Other physical details | illustrations ; |
| Dimensions | 25 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph.D)-Cairo University, 2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 60-80. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Accurate surface wind forecasts are crucial for sectors like energy production, <br/>yet traditional models face growing limitations. This thesis explores hybrid <br/>learning techniques, focusing on XGBoost (XGB) for machine learning and <br/>Long Short-Term Memory (LSTM) for deep learning, both tailored for time <br/>series prediction. Stage one uses the ERA5 database to evaluate tree-based <br/>algorithms for predicting wind speed and direction in Cairo, with XGBoost <br/>achieving an RMSE of 0.59 m/s and R² of 0.84. Stage two forecasts short-term <br/>wind speed evolution, showing excellent 1-hour predictions with an RMSE of <br/>0.35 m/s and R² of 0.98, though accuracy declines over longer horizons. Stage <br/>three utilizes LSTM for wind speed and direction prediction, achieving an RMSE <br/>of 0.30 and an R² of 0.98. These findings highlight the potential of hybrid <br/>models to revolutionize surface wind prediction and forecasting applications. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | التنبؤات الدقيقة بسرعة الرياح السطحية ضرورية لقطاعات مثل إنتاج الطاقة، إلا أن النماذج التقليدية تواجه قيودًا متزايدة. تستكشف هذه الأطروحة تقنيات التعلم الهجين، مع التركيز على XGBoost (XGB) لتعلم الآلة و Long Short-Term Memory (LSTM) للتعلم العميق، وكلاهما مخصص لتنبؤ السلاسل الزمنية. تستخدم المرحلة الأولى قاعدة بيانات ERA5 لتقييم الخوارزميات القائمة على الأشجار لتنبؤ سرعة واتجاه الرياح في القاهرة، حيث حقق XGBoost RMSE بقيمة 0.59 م/ث و R² بقيمة 0.84. في المرحلة الثانية، يتم التنبؤ بتطور سرعة الرياح على المدى القصير، مما يظهر توقعات ممتازة لساعة واحدة مع RMSE بقيمة 0.35 م/ث و R² بقيمة 0.98، رغم أن الدقة تنخفض مع الفترات الزمنية الأطول. في المرحلة الثالثة، يتم استخدام LSTM لتنبؤ سرعة واتجاه الرياح، حيث حقق RMSE بقيمة 0.30 و R² بقيمة 0.98. تسلط هذه النتائج الضوء على إمكانيات النماذج الهجينة في إحداث ثورة في تطبيقات التنبؤ والتوقع بسرعات الرياح السطحية. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issued also as CD |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Space Science |
| Source of heading or term | qrmak |
| 653 #0 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Surface wind forecasts |
| -- | Hybrid learning techniques |
| -- | Long Short-Term Memory (LSTM) |
| -- | Time series prediction |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mohamed Magdy AbdelWahab |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | ElSayed Mohamed AbdelHamed Robaa |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Stéphane Alfaro |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Guillaume Siour |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2024 |
| Supervisory body | Mohamed Magdy AbdelWahab |
| -- | ElSayed Mohamed AbdelHamed Robaa |
| -- | Stéphane Alfaro |
| -- | Guillaume Siour |
| Universities | Cairo University |
| Faculties | Faculty of Science |
| Department | Department of Astronomy, Space Science and Meteorology |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Nourhan |
| Reviser Names | Eman Ghareb |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 05.05.2025 | 91101 | Cai01.12.01.Ph.D.2024.Mo.U. | 01010110091101000 | 05.05.2025 | 05.05.2025 | Thesis |