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A comparative study of forecasting the electrical demand in Basra City using box-jenkins and modern intelligent Techniques
المؤلفون المشاركون
Abd al-Zahrah, Khadijah
Musa, Khulud
Jasim, Basil H.
المصدر
The Iraqi Journal of Electrical and Electronic Engineering
العدد
المجلد 11، العدد 1 (30 يونيو/حزيران 2015)، ص ص. 110-123، 14ص.
الناشر
تاريخ النشر
2015-06-30
دولة النشر
العراق
عدد الصفحات
14
التخصصات الرئيسية
الموضوعات
الملخص EN
The electrical consumption in Basra is extremely nonlinear; so forecasting the monthly required of electrical consumption in this city is very useful and critical issue.
In this Article an intelligent techniques have been proposed to predict the demand of electrical consumption of Basra city.
Intelligent techniques including ANN and Neuro-fuzzy structured trained.
The result obtained had been compared with conventional Box-Jenkins models (ARIMA models) as a statistical method used in time series analysis.
ARIMA (Autoregressive integrated moving average) is one of the statistical models that utilized in time series prediction during the last several decades.
Neuro-Fuzzy Modeling was used to build the prediction system, which give effective in improving the predict operation efficiency.
To train the prediction system, a historical data were used.
The data representing the monthly electric consumption in Basra city during the period from (Jan 2005 to Dec 2011).
The data utilized to compare the proposed model and the forecasting of demand for the subsequent two years (Jan 2012-Dec 2013).
The results give the efficiency of proposed methodology and show the good performance of the proposed Neuro-fuzzy method compared with the traditional ARIMA method
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abd al-Zahrah, Khadijah& Musa, Khulud& Jasim, Basil H.. 2015. A comparative study of forecasting the electrical demand in Basra City using box-jenkins and modern intelligent Techniques. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 11, no. 1, pp.110-123.
https://search.emarefa.net/detail/BIM-589960
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abd al-Zahrah, Khadijah…[et al.]. A comparative study of forecasting the electrical demand in Basra City using box-jenkins and modern intelligent Techniques. The Iraqi Journal of Electrical and Electronic Engineering Vol. 11, no. 1 (2015), pp.110-123.
https://search.emarefa.net/detail/BIM-589960
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abd al-Zahrah, Khadijah& Musa, Khulud& Jasim, Basil H.. A comparative study of forecasting the electrical demand in Basra City using box-jenkins and modern intelligent Techniques. The Iraqi Journal of Electrical and Electronic Engineering. 2015. Vol. 11, no. 1, pp.110-123.
https://search.emarefa.net/detail/BIM-589960
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 122-123
رقم السجل
BIM-589960
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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