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مقاله Intelligent Shortدرterm Load Forecasting of an Urban Area word دارای 6 صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است

فایل ورد مقاله Intelligent Shortدرterm Load Forecasting of an Urban Area word کاملا فرمت بندی و تنظیم شده در استاندارد دانشگاه و مراکز دولتی می باشد.

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توجه : در صورت  مشاهده  بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی مقاله Intelligent Shortدرterm Load Forecasting of an Urban Area word ،به هیچ وجه بهم ریختگی وجود ندارد

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بخشی از متن مقاله Intelligent Shortدرterm Load Forecasting of an Urban Area word :

سال انتشار: 1381

محل انتشار: هفدهمین کنفرانس بین المللی برق

تعداد صفحات: 6

چکیده:

This paper presents the application of an Artificial paper.ir" target="_blank" style="color:#000;text-decoration:none">neural Network (ANN) for short-term load forecasting (STLF) of an urban area in Japan (Tokyo Metropolitan Area). The basic reason for STLF is to predict the loads of next 24 hours ahead. This will allow a utility to match its generation capabilities to the expected demand. Although, there are several methods to determine such forecasting, however a neural network is selected in this paper. The reason is because the ANN cancorrespond to the problems, which have highly nonlinearity among their inputs and outputs. The ANN mode can forecast next 24 hours loads (one day) in advance. Presentl y, one of the most popular, effective, and easy to learn three-layer back- propagation (BP) models is introduced. 15 to 25 input neurons are chosen based on their impacts on the output loads. They are. actual load, temperature, wind speed and direction There is one neuron in output layer which is corresponded to an hour load of next day. Training and testing of STLF are carried out based on historical data collected for two years (calendar year 1996 and 1997). On the basis of each day’s load characteristics, three ANNs are designed for STLF. Also, three types of simulations for STLF have been discussed.

 

 

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