On the public citation graph

An Improved Machine Learning Based Improved GOOSE Protocol for Fault Detection

https://doi.org/10.2139/ssrn.4483893
0 signed · 17 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-28495-8_1openalex-extracted
Artificial Neural Network Modelling: An Introduction
inferredcites →https://doi.org/10.1007/s42044-018-00027-6openalex-extracted
A review of various semi-supervised learning models with a deep learning and memory approach
inferredcites →https://doi.org/10.1016/b978-0-12-012744-3.50006-0openalex-extracted
Computer Relaying in Power Systems
inferredcites →https://doi.org/10.1016/j.ijepes.2018.07.033openalex-extracted
Safety related functions with IEC 61850 GOOSE messaging
inferredcites →https://doi.org/10.1016/j.ijepes.2020.106008openalex-extracted
IEC 61850 based substation automation system: A survey
inferredcites →https://doi.org/10.1016/j.iot.2023.100760openalex-extracted
Security analysis of digitized substations: A systematic review of GOOSE messages
inferredcites →https://doi.org/10.1049/pbpo022eopenalex-extracted
Artificial Intelligence Techniques in Power Systems
inferredcites →https://doi.org/10.1109/61.400862openalex-extracted
Design, implementation and testing of an artificial neural network based fault direction discriminator for protecting transmission lines
inferredcites →https://doi.org/10.1109/ias54023.2022.9939820openalex-extracted
A Cyber-Physical Smart Grid Testbed for Validation of GOOSE-Based Protection Strategies
inferredcites →https://doi.org/10.1109/iceecit55908.2022.10030704openalex-extracted
Implementation of Monitoring Device for Fault Location, Isolation, and Service Restoration (FLISR) in Jakarta Area Distribution Network
inferredcites →https://doi.org/10.1109/isgt.2014.6816375openalex-extracted
Detection of cyber intrusions using network-based multicast messages for substation automation
inferredcites →https://doi.org/10.1109/tnn.2011.2163169openalex-extracted
A New Formulation for Feedforward Neural Networks
inferredcites →https://doi.org/10.1155/2012/175262openalex-extracted
Authentication and Integrity in the Smart Grid: An Empirical Study in Substation Automation Systems
inferredcites →https://doi.org/10.1155/2021/2087027openalex-extracted
A Fault Analysis Method for Three‐Phase Induction Motors Based on Spiking Neural P Systems
inferredcites →https://doi.org/10.1155/2021/6650725openalex-extracted
Research on Distributed Feeder Automation Communication Based on XMPP and GOOSE
inferredcites →https://doi.org/10.15837/ijccc.2013.5.329openalex-extracted
A Detailed Analysis of the Generic Object-Oriented Substation Event Message Structure in an IEC 61850 Standard-Based Substation Automation System
inferredcites →https://doi.org/10.3390/asi1010007openalex-extracted
Modeling Intelligent Control Switch IEC 61850 Based Substation Automation Communication
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.