Dr Muhammad Hammad Saleem M.H.Saleem@salford.ac.uk
Lecturer in Computer Science (AI)
Dr Muhammad Hammad Saleem M.H.Saleem@salford.ac.uk
Lecturer in Computer Science (AI)
Riaz Uddin
In distribution network of smart grid there are various type of fault occur in the network, which are challenge for the control system to identify its type of fault, location and restore the network automatically. In this paper we applied neural network to determine type of fault in order to do predictive maintenance and recover the network as early as possible depending on the fault type. The paper also presents the accuracy level of neural network model to determine the type of fault accurately at any mentioned condition and environment.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 4th International Electrical Engineering Conference |
Start Date | Jan 25, 2019 |
End Date | Jan 26, 2019 |
Online Publication Date | Jan 25, 2019 |
Publication Date | Jan 25, 2019 |
Deposit Date | Feb 17, 2024 |
Related Public URLs | https://www.researchgate.net/publication/330400451_Intelligent_Control_System_to_Identify_Fault_in_Distribution_Network_of_Smart_Grid_through_Neural_Network |
Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach
(2022)
Journal Article
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