استخدام نماذج الشبكات العصبية الاصطناعية للتنبؤ بمبيعات الطاقة الكهربائية بولاية أدرار

Abstract EN

The aim of this study is to forecast the sales of electric power in Adrar using artificial neural network.

weekly data of electric power sales in Adrar were used on the period from January 2012 to December 2021.

a artificial neural network model have been built for this purpose.

the results showed that the model's performance in the forecasting process was good, and that the sales of electric power forecast for 2022 maintained its seasonal characteristic, where sales in the months of June, July and out were higher than those of the rest of the months, due to the coincidence of the summer, which is known as a large consumption of electric power.

sales in 2022 will also be increased compared to sales in 2021, and this increase can be explained by urbanization, which leads to higher demand for energy electric, in addition to increasing industrial activities in the city.