Midterm load forecasting analysis for Erbil governorate based on predictive models
المؤلف
المصدر
ZANCO Journal of Pure and Applied Sciences
العدد
المجلد 32، العدد 3 (30 يونيو/حزيران 2020)، ص ص. 20-29، 10ص.
الناشر
جامعة صلاح الدين قسم النشر العلمي
تاريخ النشر
2020-06-30
دولة النشر
العراق
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Electrical power supply is becoming more and more complex as a result of expansion, growing population, and unsuitable planning of administration and peoples.
electrical power load forecasting may be defined as the process of predicting electrical load values for future of the system with respect to current demands.
this analysis is an important procedure for the power system planners and the demand controllers to ensure that the system can generate sufficient of electricity for different kinds of terms such as short, medium and long term load forecasting.
the forecasting analysis allows us to manage the electrical loads with the increasing demand.
for that purpose, we have used some predictive models to analyze of electrical load forecasting for Erbil governorate in Iraq.
this analysis helps us to manage our planning better, arrange system maintenance plan and enhance fuel control.
this study raises an attempt for forecasting the peak (upper limit) monthly demand of electric power for one year ahead.
simple linear regression model and auto regressive integrated moving average model were applied as forecasting models for a power consumer’s dataset for the purpose of predicting forthcoming year electricity load demand.
, also forecasting models are then validated using some indicators, indicator used is root mean square error (RMSE) ,which is conceded a statistic metric that is commonly used for accuracy evaluation of lf methods, and mean absolute error (MAE) both used as a forecasting accuracy criteria.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ali, Wardah Husayn. 2020. Midterm load forecasting analysis for Erbil governorate based on predictive models. ZANCO Journal of Pure and Applied Sciences،Vol. 32, no. 3, pp.20-29.
https://search.emarefa.net/detail/BIM-1402242
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ali, Wardah Husayn. Midterm load forecasting analysis for Erbil governorate based on predictive models. ZANCO Journal of Pure and Applied Sciences Vol. 32, no. 3 (2020), pp.20-29.
https://search.emarefa.net/detail/BIM-1402242
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ali, Wardah Husayn. Midterm load forecasting analysis for Erbil governorate based on predictive models. ZANCO Journal of Pure and Applied Sciences. 2020. Vol. 32, no. 3, pp.20-29.
https://search.emarefa.net/detail/BIM-1402242
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 28-29
رقم السجل
BIM-1402242
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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