Predictability the consumption of electric power in the province of Dhi Qar style using neural networks | ||
| JOURNAL OF THI-QAR SCIENCE | ||
| Article 1, Volume 5, Issue 4, December 2016, Pages 27-34 | ||
| Authors | ||
| Najah Rasol Dikhel; Hussain Ali Abbdollh | ||
| Abstract | ||
| Electrical energy is the core activity and is important in everyday life, especially economic fact that it is the main tributary of agriculture and industry and can not be indispensable to anyone in the community, and made up the electrical system of the main stages (production, transmission and distribution) and be no internal consumption and loss of electric power in stations and stages (production, transportation and distribution) before they reach the consumer so is the amount of energy produced is not equal to the amount of energy processed for consumers in all their categories, in order to stand on the problem and try to diagnose equinus was created Tdfiqi scheme to predict the consumption of electric power by using the style of neural networks in the province of Dhi Qar .lltenba consumption of electric power for the period from 2016 and up to 2020 it has been found Find consumption will be slightly above normal for the years 2016 and 2017 and start the visit is remarkable in particular in 2019 and 2020 consumption. | ||
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