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As far as I know, PRAS does not have this capability.
In rare event simulations, techniques such as exponential tilting are used to sample distributions for more accurate estimates of long-tail estimates.
Similarly, we should consider whether we can somehow preferentially simulate outages (such as in an contingency study) and then re-weight their probabilities appropriately using our probabilistic model.
The text was updated successfully, but these errors were encountered:
As far as I know, PRAS does not have this capability.
In rare event simulations, techniques such as exponential tilting are used to sample distributions for more accurate estimates of long-tail estimates.
Similarly, we should consider whether we can somehow preferentially simulate outages (such as in an contingency study) and then re-weight their probabilities appropriately using our probabilistic model.
The text was updated successfully, but these errors were encountered: