A new perturb-and-observe algorithm uses uncertainty to perturb only when needed, converges under mild conditions, and outperforms standard P&O plus three other methods in PV solar simulations.
On the Likelihood that One Unknown Proba- bility Exceeds Another in View of the Evidence of Two Samples
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Uncertainty-based perturb and observe for data-driven optimization
A new perturb-and-observe algorithm uses uncertainty to perturb only when needed, converges under mild conditions, and outperforms standard P&O plus three other methods in PV solar simulations.