GUI Software Design of Short-term Electrical Load Forecast (active and reactive loads) of Esfahan Regional Electrical Company(EREC)

Alireza Azamian¹ Behrooz Rezaei Alam² Hoseinali Shirani³ Farzad Azamian⁴

1) PHD Student Lorestan, EREC Employee, Iran
2) Lorestan Associate professor, Iran
3) EREC Employee, Iran
4) Isfahan University, Iran

IOI Code : XAEK-CZGFH
Publication : The National Conference on Recent Advances in Engineering and Modern Sciences(desconf.com)
Abstract :
    Due to the increasing progress of various industries progress of various increasing progress of various industries and their need for electrical loads (active and reactive loads), the correct prediction of short-term electrical load is vital for the continuation of the work of these industrial units and other centers with the need for electricity. In this paper, given the regional electricity needs, it is possible to predict short-term load, for example, to carry out various maneuvers for issuing various permits, for example, for repairs or periodical visits conducted by the dispensing unit and the technical transmission office and other units. Considering that various network-related calculations, such as broadcast and short-circuit computing, are used the related software is developed using Python’s programming language and two-layer neural network algorithm in order to obtain more accurate results of this software in regional electricity. This software is capable of receiving and sending the results to the related software and it can also be used independently to predict the load by other users.

Keywords : short term electric load forecast python neural network digsilent