Simulating Climatic Variables by Using Stochastic Approach
Yazarlar (4)
Prof. Dr. Kadri YÜREKLİ
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Prof. Dr. Hüseyin ŞİMŞEK
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Ondokuz Mayıs Üniversitesi, Türkiye
Prof. Dr. Sedat KARAMAN
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Building and Environment |
| Dergi ISSN | 0360-1323 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q4 |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2007 |
| Cilt No | 42 |
| Sayı | 10 |
| Sayfalar | 3493 / 3499 |
| DOI Numarası | 10.1016/j.buildenv.2006.10.046 |
| Makale Linki | http://www.sciencedirect.com/science/article/pii/S0360132306003817 |
| Özet |
| In this paper, stochastic approach with Autoregressive Integrated Moving Average (ARIMA) based techniques are applied to generate solar radiation, temperature and relative humidity forecast with the purpose of being incorporated within agricultural facilities predictive control strategy. This study opens a new perspective about light on the characteristics of solar radiation, temperature and relative humidity and may help planners in agriculture and related industries. © 2007 Elsevier Ltd. All rights reserved. |
| Anahtar Kelimeler |
| ARIMA | Relative humidity | Solar radiation | Temperature |
Science Direct
Simulating Climatic Variables by Using Stochastic Approach
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 37 |
| SCOPUS | 40 |
| Google Scholar | 60 |