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Tuned support vector regression by modified particle swarm optimization for online power system static security evaluation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470225868openalex-snapshot
Modern Heuristic Optimization Techniques
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-540-73170-2openalex-snapshot
Intelligent Systems and Signal Processing in Power Engineering
inferredcites →https://doi.org/10.1016/0378-7796(93)90081-oopenalex-snapshot
Artificial neural networks and their applications to power systems—a bibliographical survey
inferredcites →https://doi.org/10.1016/j.eswa.2007.08.088openalex-snapshot
Particle swarm optimization for parameter determination and feature selection of support vector machines
inferredcites →https://doi.org/10.1016/j.ijepes.2012.07.065openalex-snapshot
Pattern analysis and classification for security evaluation in power networks
inferredcites →https://doi.org/10.1016/j.ijepes.2013.03.007openalex-snapshot
Current state of neural networks applications in power system monitoring and control
inferredcites →https://doi.org/10.1016/j.ijepes.2015.11.009openalex-snapshot
An online power system static security assessment module using multi-layer perceptron and radial basis function network
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1049/ip-gtd:19981785openalex-snapshot
Static security analysis using pipeline decomposition
inferredcites →https://doi.org/10.1109/4235.985692openalex-snapshot
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
inferredcites →https://doi.org/10.1109/59.852154openalex-snapshot
Contingency screening for steady-state security analysis by using FFT and artificial neural networks
inferredcites →https://doi.org/10.1109/epec.2016.7771703openalex-snapshot
Parameter selection of multi-class SVM with evolutionary optimization methods for static security evaluation in power systems
inferredcites →https://doi.org/10.1109/icnn.1994.374801openalex-snapshot
Application of neural networks to power system security: technology and trends
inferredcites →https://doi.org/10.1109/icpr.1998.711129openalex-snapshot
Support vector mixture for classification and regression problems
inferredcites →https://doi.org/10.1109/mcap.2002.1018820openalex-snapshot
ANN approach assesses system security
inferredcites →https://doi.org/10.1109/mpae.2004.1338120openalex-snapshot
Power system security assessment
inferredcites →https://doi.org/10.1109/pesgm.2012.6345123openalex-snapshot
Gene expression programming for static security assessment of power systems
inferredcites →https://doi.org/10.1109/tencon.2009.5396229openalex-snapshot
Development of a composite security index for static security evaluation
inferredcites →https://doi.org/10.1109/tevc.2012.2189404openalex-snapshot
Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/tpami.2008.266openalex-snapshot
On the Decoding Process in Ternary Error-Correcting Output Codes
inferredcites →https://doi.org/10.1109/tpwrs.2013.2267557openalex-snapshot
Online Static Security Assessment Module Using Artificial Neural Networks
inferredcites →https://doi.org/10.1109/tr.2016.2515581openalex-snapshot
A Novel Hybrid Method of Parameters Tuning in Support Vector Regression for Reliability Prediction: Particle Swarm Optimization Combined With Analytical Selection
inferredcites →https://doi.org/10.1162/089976601750399335openalex-snapshot
Training v-Support Vector Classifiers: Theory and Algorithms
inferredcites →https://doi.org/10.7551/mitpress/1130.003.0018openalex-snapshot
Support Vector Machines for Dynamic Reconstruction of a Chaotic System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/2050-7038.12432openalex-snapshot
Static security assessment of power systems: A review
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e14524openalex-snapshot
Techniques of power system static security assessment and improvement: A literature survey
inferred← citeshttps://doi.org/10.1016/j.segan.2024.101387openalex-snapshot
Geometrical method for a fast practical static stability region evaluation of a smart microgrid
inferred← citeshttps://doi.org/10.1016/s0140-6701(97)84728-5openalex-snapshot
97/02854 Applications of artificial intelligence in power systems
inferred← citeshttps://doi.org/10.1109/access.2022.3142859openalex-snapshot
Particle Swarm Optimization: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/eeeic/icpseurope57605.2023.10194751openalex-snapshot
Static Security Assessment for Smart Microgrids based on unstable working points clustering
inferred← citeshttps://doi.org/10.1109/tia.2025.3536431openalex-snapshot
A Method for Practical Stability Region Evaluation and a Preventive Control Strategy for MicroGrids
inferred← citeshttps://doi.org/10.3390/su12093719openalex-snapshot
Condition Monitoring of DC-Link Electrolytic Capacitors in PWM Power Converters Using OBL Method
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