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A developed artificial inteligence based approach to short term loda forecasting / Tawfik Khalifa Tawfik Mahmoud ; Supervised Zeinab Hanem M.Osman , Mohamed Labieb Awed

By: Contributor(s): Language: Eng Publication details: Cairo : Tawfik Khalifa Tawfik Mahmoud , 2007Description: 116P. : charts ; 30cmOther title:
  • طريقة للتنبؤ بالاحمال الكهربية للزمن القريب باستخدام الذكاء الاصطناعى [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electrical Power and Machines Summary: Short term load forecast is very important issue for electric power system operation.This thesis presents two new models for short - term load forecast (one hour ahead) using artificial neural network and adaptive neural fuzzy inference system
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2007.Ta.D (Browse shelf(Opens below)) Not for loan 01010110048045000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.07.M.Sc.2007.Ta.D (Browse shelf(Opens below)) 48045.CD Not for loan 01020110048045000

Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electrical Power and Machines

Short term load forecast is very important issue for electric power system operation.This thesis presents two new models for short - term load forecast (one hour ahead) using artificial neural network and adaptive neural fuzzy inference system

Issued also as CD

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