Neural networks approach for energy consumption in air - conditioned administrative buildings / Mohamed Yafia Okba Salem ; Supervised Sami Morad Morcos , Essam Eldin Khalil , Ahmed Ahmed Medhat
Material type: TextLanguage: English Publication details: Cairo : Mohamed Yafia Okba Salem , 2011Description: 185 P. : charts , facsimiles ; 30cmOther title:- استخدام الشبكات العصبية فى التنبؤ باستهلاك الطاقة فى المبانى الادارية مكيفة الهواء [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.11.M.Sc.2011.Mo.N (Browse shelf(Opens below)) | Not for loan | 01010110056375000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.11.M.Sc.2011.Mo.N (Browse shelf(Opens below)) | 56375.CD | Not for loan | 01020110056375000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Power Engineering
The objective of this work is to analyze and predict the energy consumption in air conditioned administrative building by using Artificial Neural Networks (ANN) . The model is constructed by a simulation package called DesignBuilder where EnergyPlus is the core program which is provided with weather data for Cairo and simulated to produce the system performance hourly data (total energy consumption of the building chiller energy consumption , ..etc )
Issued also as CD
There are no comments on this title.