On the public citation graph

AMI-Enabled Distribution Network Line Outage Identification via Multi-Label SVM

https://doi.org/10.1109/tsg.2018.2849845
0 signed · 71 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1016/j.ijepes.2005.09.003openalex-snapshot
Economic costs of power interruptions: a consistent model and methodology
inferredcites →https://doi.org/10.1109/globalsip.2016.7905955openalex-snapshot
Efficient neural network architecture for topology identification in smart grid
inferredcites →https://doi.org/10.1109/mpe.2015.2397332openalex-snapshot
Distribution Systems: Reliable But Not Resilient? [In My View]
inferredcites →https://doi.org/10.1109/ssp.2016.7551827openalex-snapshot
Learning to infer: A new variational inference approach for power grid topology identification
inferredcites →https://doi.org/10.1109/tpwrd.2013.2272057openalex-snapshot
Fault Location in Distribution Systems Based on Smart Feeder Meters
inferredcites →https://doi.org/10.1109/tpwrs.2015.2503341openalex-snapshot
Outage Management of Distribution Systems Incorporating Information From Smart Meters
inferredcites →https://doi.org/10.1201/9780824744281openalex-snapshot
Electric Power Distribution Reliability
inferredcites →https://doi.org/10.1201/9780849375682openalex-snapshot
Electric Power Distribution Reliability
inferredcites →https://doi.org/10.4018/jdwm.2007070101openalex-snapshot
Multi-Label Classification
inferredcites →https://doi.org/10.5555/299094openalex-snapshot
Advances in kernel methods: support vector learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3978440openalex-extracted
inferred← citeshttps://doi.org/10.1002/2050-7038.12154openalex-snapshot
A data‐driven approach for predicting vegetation‐related outages in power distribution systems
inferred← citeshttps://doi.org/10.1007/978-3-030-72322-4_120-1openalex-snapshot
Integration Strategies of Renewable Energy Sources in a Conventional Community
inferred← citeshttps://doi.org/10.1007/978-3-030-97940-9_120openalex-snapshot
Integration Strategies of Renewable Energy Sources in a Conventional Community
inferred← citeshttps://doi.org/10.1007/978-3-031-46092-0_5openalex-snapshot
Studies on Conventional and Advanced Machine Learning Algorithm Towards Framing of Robust Data Analytics for the Smart Grid Application
inferred← citeshttps://doi.org/10.1007/978-981-15-7994-3_35openalex-snapshot
Transmission Line Outage Estimation Through Bus Current Comparison Utilizing Current Phasor of PMU
inferred← citeshttps://doi.org/10.1007/978-981-19-0193-5_8openalex-snapshot
KNN Based Approach for Transmission Line Outage Detection Using Synchrophasor Data
inferred← citeshttps://doi.org/10.1007/s11227-025-07889-1openalex-snapshot
Interpretable localization of false data injection attacks in smart grids: a multi-head graph convolutional attention network approach
inferred← citeshttps://doi.org/10.1016/j.epsr.2022.108145openalex-snapshot
A multi-rate sampling PMU-based event classification in active distribution grids with spectral graph neural network
inferred← citeshttps://doi.org/10.1016/j.ijepes.2021.106938openalex-snapshot
Power flow matching-based topology identification of medium-voltage distribution networks via AMI measurements
inferred← citeshttps://doi.org/10.1016/j.ijepes.2022.108296openalex-snapshot
Predicting Typhoon-Induced Transmission Line Outages with Coordination of Static and Dynamic Data
inferred← citeshttps://doi.org/10.1016/j.ijepes.2023.109771openalex-snapshot
Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes
inferred← citeshttps://doi.org/10.1016/j.patrec.2020.03.022openalex-snapshot
Research on real-time analysis technology of urban land use based on support vector machine
inferred← citeshttps://doi.org/10.1016/j.rser.2026.116885openalex-snapshot
Distribution networks in transition: A European survey on challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.scs.2021.103587openalex-snapshot
Data mining-based cause identification of momentary outages in power distribution systems
inferred← citeshttps://doi.org/10.1016/j.segan.2026.102461openalex-snapshot
Data-physics hybrid-driven two-stage topology identification for active distribution networks with soft open points
inferred← citeshttps://doi.org/10.1049/gtd2.12224openalex-snapshot
Distribution line parameter estimation driven by probabilistic data fusion of D‐PMU and AMI
inferred← citeshttps://doi.org/10.1049/iet-gtd.2020.0570openalex-snapshot
Decision tree‐based classifiers for root‐cause detection of equipment‐related distribution power system outages
inferred← citeshttps://doi.org/10.1049/iet-stg.2018.0261openalex-snapshot
Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions
inferred← citeshttps://doi.org/10.1088/1742-6596/2384/1/012044openalex-snapshot
Anomaly Detection of Distribution Network Based on Adversarial Dual Autoencoder
inferred← citeshttps://doi.org/10.1109/access.2023.3246088openalex-snapshot
Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids
inferred← citeshttps://doi.org/10.1109/access.2024.3364362openalex-snapshot
A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids
inferred← citeshttps://doi.org/10.1109/acfpe63443.2024.10801086openalex-snapshot
Topology Identification Method for Low-Voltage Distribution Network Based on Minimized Collection of Load Characteristics
inferred← citeshttps://doi.org/10.1109/epee59859.2023.10352064openalex-snapshot
A Method of Faulted Section Location in Distribution Network Based on Siamese Network Under Small Sample
inferred← citeshttps://doi.org/10.1109/gtd49768.2023.00077openalex-snapshot
Machine Learning Approaches in Anomaly Type Detection and Localization in Distribution System
inferred← citeshttps://doi.org/10.1109/iaecst64597.2024.11118016openalex-snapshot
An Intelligent Ensemble Classifier for the Transformer-User Relationship Identification in Distritbution Networks
inferred← citeshttps://doi.org/10.1109/icat54566.2022.9811131openalex-snapshot
Deep Reinforcement Learning in Smart Grid: Progress and Prospects
inferred← citeshttps://doi.org/10.1109/icpsasia48933.2020.9208619openalex-snapshot
A Multi-label Classification Model for Type Recognition of Single-Phase-to-Ground Fault Based on KNN-Bayesian Method
inferred← citeshttps://doi.org/10.1109/icsgsc62639.2024.10813844openalex-snapshot
A Fault Location Method for Modern Distribution Network Based on Fault State Estimation by Hybrid Measurement
inferred← citeshttps://doi.org/10.1109/isgteurope52324.2021.9639928openalex-snapshot
Distribution Fault Location Using Graph Neural Network with Both Node and Link Attributes
inferred← citeshttps://doi.org/10.1109/jestpe.2019.2916621openalex-snapshot
Support Vector Machine-Based Islanding and Grid Fault Detection in Active Distribution Networks
inferred← citeshttps://doi.org/10.1109/jsac.2019.2951964openalex-snapshot
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/naps52732.2021.9654560openalex-snapshot
Application of Graph Neural Network for Fault Location in PV Penetrated Distribution Grids
inferred← citeshttps://doi.org/10.1109/naps61145.2024.10741749openalex-snapshot
Prediction-Based Data Augmentation for Smart Grid Line Outage Detection
inferred← citeshttps://doi.org/10.1109/pesgm48719.2022.9916593openalex-snapshot
Quickest Line Outage Detection with Low False Alarm Rate and No Prior Outage Knowledge
inferred← citeshttps://doi.org/10.1109/pesgm48719.2022.9916845openalex-snapshot
Spectral Clustering for Fast Outage Detection and Visualization in Power Distribution Systems
inferred← citeshttps://doi.org/10.1109/repe55559.2022.9949264openalex-snapshot
Fault Location Method of Distribution Network Based on Phasor Feature
inferred← citeshttps://doi.org/10.1109/sefet61574.2024.10718034openalex-snapshot
Outage Area Identification in Smart Grid: An Adaptive Approach
inferred← citeshttps://doi.org/10.1109/smartgridcomm57358.2023.10333931openalex-snapshot
Learning-based Real-time Outage Location Identification in Power Distribution Systems with Sparse Sensors
inferred← citeshttps://doi.org/10.1109/tase.2025.3580658openalex-snapshot
Fault Location in Power Distribution Networks With Massive Missing Data: A Graph-Based Imputation and Contrastive Learning Approach
inferred← citeshttps://doi.org/10.1109/tie.2020.3009604openalex-snapshot
Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network
inferred← citeshttps://doi.org/10.1109/tii.2022.3158614openalex-snapshot
Gridtopo-GAN for Distribution System Topology Identification
inferred← citeshttps://doi.org/10.1109/tim.2022.3176286openalex-snapshot
Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation
inferred← citeshttps://doi.org/10.1109/tpwrs.2019.2922333openalex-snapshot
A Data-Driven Framework for Assessing Cold Load Pick-Up Demand in Service Restoration
inferred← citeshttps://doi.org/10.1109/tpwrs.2020.3011133openalex-snapshot
Machine Learning-Enabled Distribution Network Phase Identification
inferred← citeshttps://doi.org/10.1109/tpwrs.2021.3086031openalex-snapshot
Data-Driven Classifier for Extreme Outage Prediction Based On Bayes Decision Theory
inferred← citeshttps://doi.org/10.1109/tsg.2018.2878367openalex-snapshot
2018 IndexIEEE Transactions on Smart GridVol. 9
inferred← citeshttps://doi.org/10.1109/tsg.2019.2936148openalex-snapshot
A Physical Probabilistic Network Model for Distribution Network Topology Recognition Using Smart Meter Data
inferred← citeshttps://doi.org/10.1109/tsg.2020.3008770openalex-snapshot
Outage Detection in Partially Observable Distribution Systems Using Smart Meters and Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tsg.2021.3128752openalex-snapshot
Multisource Data Fusion Outage Location in Distribution Systems via Probabilistic Graphical Models
inferred← citeshttps://doi.org/10.1109/tsg.2023.3316548openalex-snapshot
Multi-Source Data Aggregation and Real-Time Anomaly Classification and Localization in Power Distribution Systems
inferred← citeshttps://doi.org/10.1109/tsg.2025.3540979openalex-snapshot
Integrated Framework of Multisource Data Fusion for Outage Location in Looped Distribution Systems
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i11s.8298openalex-snapshot
Evaluation of Transfer Learning Techniques for Fault Classification in Radial Distribution Systems: A Comparative Study
inferred← citeshttps://doi.org/10.2174/0126662558269531231218052251openalex-snapshot
A Novel DWT-ERT-based Fault Location for Distribution Network
inferred← citeshttps://doi.org/10.24867/08be32jovanovicopenalex-snapshot
IDENTIFIKACIJA ELEMENTARNIH NEPOGODA U SISTEMU ZA UPRAVLJANJE PAMETNIM BROJILIMA
inferred← citeshttps://doi.org/10.25103/jestr.172.05openalex-snapshot
Bayesian Optimized CNN Model for Fault Classification in a Distribution System
inferred← citeshttps://doi.org/10.3233/jifs-220653openalex-snapshot
ADGWN: adaptive dual-channel graph wavelet neural network for topology identification of low-voltage distribution grid
inferred← citeshttps://doi.org/10.3390/en14185908openalex-snapshot
Prediction of Electromagnetic Characteristics in Stator End Parts of a Turbo-Generator Based on MLP and SVR
inferred← citeshttps://doi.org/10.4108/ew.5767openalex-snapshot
Smart meter-based outage detection method for power distribution systems
inferred← citeshttps://doi.org/10.48550/arxiv.2012.02877openalex-snapshot
Multi-Source Data Fusion Outage Location in Distribution Systems via Probabilistic Graph Models
inferred← citeshttps://doi.org/10.7717/peerj-cs.1753openalex-snapshot
Research on line loss analysis and intelligent diagnosis of abnormal causes in distribution networks: artificial intelligence based method
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.