01459nas a2200241   4500000000100000000000100001008004100002260001200043653002300055653001900078653001500097653001500112653002000127100002500147700001800172700001600190245007200206856009600278300001100374490000600385520081200391022001401203       2018                            d  c06/201810aRenewable energies10aNeural Network10aSmart Grid10aPower Loss10aVoltage Profile1 aMohamed Abdel-Nasser1 aKarar Mahmoud1 aHeba Kashef00aA Novel Smart Grid State Estimation Method Based on Neural Networks  uhttp://www.ijimai.org/journal/sites/default/files/files/2018/01/ijimai_5_1_12_pdf_18312.pdf  a92-1000 v53 aThe rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural networks (ANNs). The proposed method which is called SE-NN (state estimation using neural network) can evaluate the state at any point of smart grid systems considering fluctuated loads. To demonstrate the effectiveness of the proposed method, it has been applied on IEEE 33-bus distribution system with different data resolutions. The accuracy of the proposed method is validated by comparing the results with an exact power flow method. The proposed SE-NN method is a very fast tool to estimate voltages and re/active power loss with a high accuracy compared to the traditional methods.  a1989-1660