Artificial Neural Networks-Based Fault Localization in Distributed Generation Integrated Networks Considering Fault Impedance

Mousavi, Arash; Mousavi, Rashin; Mousavi, Yashar; Tavasoli, Mahsa; Arab, Aliasghar; Fekih, Afef

doi:10.1109/access.2024.3412991

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Artificial Neural Networks-Based Fault Localization in Distributed Generation Integrated Networks Considering Fault Impedance

Cited by 6 publications

References 68 publications

Probabilistic temporal semantic graph: a holistic framework for event detection in twitter

Probabilistic temporal semantic graph: a holistic framework for event detection in twitter

Three-Core Cable Fault Line Identification Based on Ground Wire Current and BiGRU-ResNet-MA

Automatic Generation of a Fault Database in Electrical Power Distribution Networks Using ATPDraw/ATP

Contact Info

Product

Resources

About