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Forecasting of renewable energy using ann, gpann and anfis: A comparative study and performance analysis / Omnia Abdalazeem Hussieny Ahmed ; Supervised Mohamed A. Elbeltagy , Samah Eltantawy

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Omnia Abdalazeem Hussieny Ahmed , 2021Description: 87 P . : charts ; 30cmOther title:
  • دراسة مقارنة وتحليل الأداء : ANFIS ونظام الإستدلال العصبى التكيفى GPANN والخوارزمية الجينية المصحوبة بالشبكة العصبية ANNالتنبؤ بالطاقة المتجددة بإستخدام الشبكه الاصطناعية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics Summary: The task of forecasting and prediction is deemed to be a salient task in several problems and issues. The main concentration of this thesis is to forecast different types of data based on collected previous data obtained months ago. The data gathered are the global horizontal irradiance (GHI), direct normal irradiance (DNI), diffuse horizontal irradiance (DHI), temperature, and wind speed. The two kinds of data used in this thesis are the wind speed and the temperature. Forecasting and prediction for wind speed and temperature as explored in the current work based on three several methods based on artificial neural network (ANN) and genetic programming fused with artificial neural network (GPANN) and adaptive neuro-fuzzy inference system (ANFIS)
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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 Cai01.13.10.M.Sc.2021.Om.F (Browse shelf(Opens below)) Not for loan 01010110083150000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.10.M.Sc.2021.Om.F (Browse shelf(Opens below)) 83150.CD Not for loan 01020110083150000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mathematics and Physics

The task of forecasting and prediction is deemed to be a salient task in several problems and issues. The main concentration of this thesis is to forecast different types of data based on collected previous data obtained months ago. The data gathered are the global horizontal irradiance (GHI), direct normal irradiance (DNI), diffuse horizontal irradiance (DHI), temperature, and wind speed. The two kinds of data used in this thesis are the wind speed and the temperature. Forecasting and prediction for wind speed and temperature as explored in the current work based on three several methods based on artificial neural network (ANN) and genetic programming fused with artificial neural network (GPANN) and adaptive neuro-fuzzy inference system (ANFIS)

Issued also as CD

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