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Improving fault tolerance in diagnosing power system failures with optimal hierarchical extreme learning machine.

, , , and . Reliab. Eng. Syst. Saf., (August 2023)

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A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China., , , , , , and . Complex., (2018)Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems., , and . IEEE Trans. Ind. Informatics, 20 (2): 2611-2619 (February 2024)Improving fault tolerance in diagnosing power system failures with optimal hierarchical extreme learning machine., , , and . Reliab. Eng. Syst. Saf., (August 2023)Hybridizing gaining-sharing knowledge and differential evolution for large-scale power system economic dispatch problems., , , , , , , , and . J. Comput. Des. Eng., 10 (2): 615-631 (March 2023)Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks., , , and . Brain Storm Optimization Algorithms, Springer, (2019)Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options., , , and . Inf. Sci., (2022)Orthogonal learning competitive swarm optimizer for economic dispatch problems., and . Appl. Soft Comput., (2018)A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables., , , , , , , , and . IEEE Access, (2020)Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models., , , and . Complex., (2019)Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning., , and . Comput. Oper. Res., (2014)