Differential evolution-based optimized hierarchical extreme learning machines for fault section diagnosis of large-scale power systems.

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

Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap.

GSA-based maximum likelihood estimation for threshold vector error correction model.