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Article
Short Term Load Forecasting Based Artificial Neural Network

Author: Adel M. Dakhil
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2014 Volume: 10 Issue: 1 Pages: 42-47
Publisher: Basrah University جامعة البصرة

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Abstract

Present study develops short term electric load forecasting using neural network; based on historical series of power demand the neural network chosen for this network is feed forward network, this neural network has five input variables ( hour of the day, the day of the week, the load for the previous hour, the load of the pervious day, the load for the previous week). Short term load forecast is very important due to accurate for power system operation and analysis system security among other mandatory function. The trained artificial neural network shows good accuracy and robust in forecasting future load demands for the daily operation, mean absolute percentage error (MAPE) was calculated and it is maximum value is 0.75% in load forecasting on Monday


Article
Estimation Load Forecasting Based on the Intelligent Systems

Authors: Hanan A.R. Akkar --- Wissam H. Ali
Journal: AL-NAHRAIN JOURNAL FOR ENGINEERING SCIENCES مجلة النهرين للعلوم الهندسية ISSN: 25219154 / eISSN 25219162 Year: 2018 Volume: 21 Issue: 2 Pages: 285-291
Publisher: Al-Nahrain University جامعة النهرين

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Abstract

The daily peak load forecasting for the next day is the basic operation of generation scheduling. The approach of using ANN methodology alone is limited which has generated interest to explore hybrid system. In this paper a search of genetic programming to a short term load forecasting is presented. A genetic architecture with the fitness normalization has been used to find as optimum data peak load of Baghdad city. The optimize data applied to the ANN to be trained and tested to estimate the daily peak load of Baghdad city. Different cases for load forecasting are considered with the aid of MATLAB 7 package to get the estimation of the next day. So an improvement method of genetic optimization is proposed to get a better solution for the load estimation rather than artificial neural network.


Article
HYBRID PV/WIND/BATTERY/DIESEL GENERATOR ENERGY SYSTEM FOR HYDERABAD CITY, PAKISTAN
الخلايا الشمسية الهجينة / رياح / بطارية / نظام طاقة لمولّد ديزل لمدينةحيدر آباد، باكستان

Authors: Husham Idan Hussein هشام عيدان حسين كيطان --- Ahmed Majeed Ghadhban احمد مجيد غضبان حسين
Journal: DIYALA JOURNAL OF ENGINEERING SCIENCES مجلة ديالى للعلوم الهندسية ISSN: 19998716/26166909 Year: 2015 Volume: 8 Issue: 3 Pages: 124-138
Publisher: Diyala University جامعة ديالى

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Abstract

Through this paper, the optimized cost was estimated to develop a new hybrid system contains a combination of various alternative energy resources. Designing any new project requires an estimation for the minimum amount of money required for initiating it as well as the cost of operations when it is in running process. For any electric power project, the cost of electricity is very significant because it totally affects the end user or the consumer. By using HOMER simulator, these parameters were analyzed. The project was implemented in Hyderabad City, located in southern Pakistan. This city is gifted many natural resources that can produce a considerable amount of power energy for the region. This paper, highlights the average amount of all these resources that can be achieved throughout the year.

كلفة التشغيل تعتبر من اهم ركائز العمل لتطوير نظام القدرة الكهربائية .لتصميم نظام قدرة كهربائية جديد يعتمد على الطاقات البديلة من الخلايا الشمسية, والهواء, والبترول وكذلك على وحدة لخزن الطاقة الكهربائية متمثلة بالبطاريات كمصدر مساعد, تعتبر الكلف الكلية والتشغيلية من اهم العوامل التي تؤثر على المستهلك بشكل كامل. تقييم الكلفة الابتدائية وكلفة التشغيل للمشروع المقترح في هذا البحث تم حسابها بالاعتماد على برنامج هندسي (HOMER) متخصص في حساب الكلف لكل انواع الطاقات البديلة. هذا البحث اقترح نظام هجين يضم كل من(الخلايا الشمسية, والهواء, والبترول والبطاريات) على اساس بيانات مدينة حيدر اباد في جنوب دولة باكستان والتي تعتبر من المناطق الغنية بالطاقات البديلة. وقد تم احتساب معدل كمية هذه المصادر(البديلة) والتي يمكن ان تكفي لمدة عام كامل.

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