Binod Kumar Sahu

Orcid: 0000-0001-5639-9928

According to our database1, Binod Kumar Sahu authored at least 11 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A fuzzy adaptive symbiotic organism search based hybrid wavelet transform-extreme learning machine model for load forecasting of power system: a case study.
J. Ambient Intell. Humaniz. Comput., 2023

2022
Selfish Herd Optimisation tuned fractional order cascaded controllers for AGC Analysis.
Soft Comput., 2022

Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm.
Neural Comput. Appl., 2022

Improved Squirrel Search Algorithm Driven Cascaded 2DOF-PID-FOI Controller for Load Frequency Control of Renewable Energy Based Hybrid Power System.
IEEE Access, 2022

2019
Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock market prediction.
Int. J. Intell. Comput. Cybern., 2019

Automatic generation control analysis of power system with nonlinearities andelectric vehicle aggregators with time-varying delay implementing a novel controlstrategy.
Turkish J. Electr. Eng. Comput. Sci., 2019

2017
Performance Comparison of SMO-Based Fuzzy PID Controller for Load Frequency Control.
Proceedings of the Soft Computing for Problem Solving, 2017

2015
Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system.
Appl. Soft Comput., 2015

2013
Bacteria foraging optimisation algorithm for tuning of PSS and STATCOM-based controller parameters.
Int. J. Data Min. Model. Manag., 2013

2012
Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization.
J. Frankl. Inst., 2012

Performance Analysis and Design of Proportional Integral Derivative Controlled Automatic Voltage Regulator System Using Local Unimodal Sampling Optimization Technique.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012


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