MARC ayrıntıları
| 000 -BAŞLIK |
|---|
| Sabit Uzunluktaki Kontrol Alanı |
03066nam a22003017a 4500 |
| 003 - KONTROL NUMARASI KİMLİĞİ |
|---|
| Kontrol Alanı |
KOHA |
| 005 - EN SON İŞLEM TARİHİ ve ZAMANI |
|---|
| Kontrol Alanı |
20230424101501.0 |
| 008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ |
|---|
| Sabit Alan |
221011d2022 cy ||||| m||| 00| 0 eng d |
| 040 ## - KATALOGLAMA KAYNAĞI |
|---|
| Özgün Kataloglama Kurumu |
CY-NiCIU |
| Kataloglama Dili |
eng |
| Çeviri Kurumu |
CY-NiCIU |
| Açıklama Kuralları |
rda |
| 041 ## - DİL KODU |
|---|
| Metin ya da ses kaydının dil kodu |
eng |
| 090 ## - Yerel Tasnif No |
|---|
| tasnif no |
YL 2636 |
| Cutter no |
Z43 2022 |
| 100 1# - KİŞİ ADI |
|---|
| Yazar Adı (Kişi adı) |
Zidan, Tareq Abdalkarim |
| 245 10 - ESER ADI BİLDİRİMİ |
|---|
| Başlık |
ESTIMATION OF SOLAR RADIATION WITH ADVANCED MACHINE LEARNING ENSEMBLE TECHNIQUES / |
| Sorumluluk Bildirimi |
TAREQ ABDALKARIM ZIDAN; SUPERVISOR: ASSOC. PROF. DR. HÜSEYİN ÖZTOPRAK |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
2022 |
| 300 ## - FİZİKSEL TANIMLAMA |
|---|
| Sayfa, Cilt vb. |
51 sheets; |
| Boyutları |
31 cm. |
| Birlikteki Materyal |
Includes CD |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 502 ## - TEZ NOTU |
|---|
| Tez Notu |
Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Electrical and Electronics Engineering Department |
| 504 ## - BİBLİYOGRAFİ NOTU |
|---|
| Bibliyografi Notu |
Includes bibliography (sheets 46-51) |
| 520 ## - ÖZET NOTU |
|---|
| Özet notu |
ABSTRACT Over decades, the applications of solar energy as in power supply, water supply, agriculture, and transportation have been increasing exponentially. However, reliable and efficient planning, design, operation, and monitoring of solar energy systems, requires accurate information on the available solar radiation. However, measurement of solar radiation especially in the developing nations is quite challenging, due to the cost of purchasing the measuring instruments, coupled with their calibration and maintenance. Meanwhile, information on the solar radiation in those regions is estimated using data-driven computational techniques. Several models have been proposed for solar radiation estimation, ranging from empirical, intelligent (machine learning). However, these models often produce unsatisfactory results. In this regard, the objective of this thesis is to investigate the application of advanced ensemble machine learning models for the estimation of solar radiation in four major cities of Libya, namely; Benghazi, Misurata, Sebha and Tripoli. Two ensemble techniques are employed; the averaging ensemble (AE) and neuro-fuzzy ensemble. The ensemble models are developed by combining three single machine learning models namely; Artificial Neural Network (ANN), Support Vector Machine (SVM) and Adaptive Neuro Fuzzy Inference System (ANFIS). The models are developed using meteorological data consisting of relative humidity (RH), Wind Speed (WS), Maximum Temperature, Minimum Temperature, Mean Temperature and Rainfall as predictors. The simulation results indicated that the NFE provide the highest accuracy in all the study areas. The developed models can reliable be used as alternative tool for estimation of solar radiation in the study areas. Keywords: Ensemble Machine Learning, Estimation, Machine Learning, Modelling, Solar Radiation. |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Machine learning |
| Alt başlık biçimi |
Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Ensemble learning (Machine learning) |
| Alt başlık biçimi |
Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Solar radiation |
| Alt başlık biçimi |
Dissertations, Academic |
| 700 1# - EK GİRİŞ - KİŞİ ADI |
|---|
| Yazar Adı (Kişi adı) |
Öztoprak, Hüseyin |
| İlişkili Terim |
supervisor |
| 942 ## - EK GİRİŞ ÖGELERİ (KOHA) |
|---|
| Sınıflama Kaynağı |
Dewey Onlu Sınıflama Sistemi |
| Materyal Türü |
Thesis |