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[1]
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Designing SSSC, TCSC, and STATCOM controllers using AVURPSO, GSA, and GA for transient stability improvement of a multi-machine power system with PV and wind farms
International Journal of Electrical Power & Energy Systems,
2019
DOI:10.1016/j.ijepes.2018.10.019
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[2]
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LVRT improvement and transient stability enhancement of power systems based on renewable energy resources using the coordination of SSSC and PSSs controllers
IET Renewable Power Generation,
2019
DOI:10.1049/iet-rpg.2018.6010
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[3]
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Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three-Dimensional Hydrodynamic Models
Computational Water, Energy, and Environmental Engineering,
2017
DOI:10.4236/cweee.2017.61009
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[4]
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Coordinated control of PSS and variable impedance devices by using AVURPSO to enhance the stability in power system
2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON),
2017
DOI:10.1109/ECTICon.2017.8096260
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[5]
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Proceedings of the Second International Conference on Computer and Communication Technologies
Advances in Intelligent Systems and Computing,
2016
DOI:10.1007/978-81-322-2526-3_68
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[6]
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Power system stabiliser and flexible alternating current transmission systems controller coordinated design using adaptive velocity update relaxation particle swarm optimisation algorithm in multi-machine power system
IET Generation, Transmission & Distribution,
2016
DOI:10.1049/iet-gtd.2015.1002
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[7]
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Water Quality Modeling in Reservoirs Using Multivariate Linear Regression and Two Neural Network Models
Advances in Artificial Neural Systems,
2015
DOI:10.1155/2015/521721
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[8]
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A Novel Incremental Instruct Dynamic Intrusion Detection System Using PSO-RBF
International Journal of Future Computer and Communication,
2015
DOI:10.7763/IJFCC.2015.V4.402
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[9]
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Designing and modeling of ultra low voltage and ultra low power LNA using ANN and ANFIS for Bluetooth applications
Neurocomputing,
2013
DOI:10.1016/j.neucom.2013.04.021
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[10]
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Two-Stage Approach for Protein Superfamily Classification
Computational Biology Journal,
2013
DOI:10.1155/2013/898090
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