{"id":"W4416136192","doi":"10.1109/pesgm52009.2025.11225784","title":"Efficient Sampling and Sensitivity Analysis of Rare Transient Instability Events via Subset Simulation","year":2025,"lang":"","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Rare events; Robustness (evolution); Monte Carlo method; Transient (computer programming); Sensitivity (control systems); Control theory (sociology); Importance sampling; Sampling (signal processing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526739,0.000697786,0.0009561499,0.0009214275,0.0003694426,0.0006812669,0.0006832608,0.0004879522,0.001427326],"category_scores_gemma":[0.009370406,0.0004796997,0.0007905832,0.0005791898,0.0005939297,0.0006584065,0.0009490914,0.000751706,0.00009126926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287325,"about_ca_system_score_gemma":0.0007646796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003594497,"about_ca_topic_score_gemma":0.002100164,"domain_scores_codex":[0.9990828,0.0005331275,0.00003620446,0.00008248907,0.0002043989,0.00006104218],"domain_scores_gemma":[0.9915884,0.007119557,0.0003287241,0.0004141452,0.0004700029,0.00007909854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004736194,0.00001592052,0.001076211,0.00002656501,0.00002645276,0.00003877491,0.00002140319,0.9888048,0.0009433763,0.003863829,0.00009381986,0.005041542],"study_design_scores_gemma":[0.000001568242,0.000008636561,0.0001080624,0.000001799532,0.000003302103,0.000006306079,0.000002758779,0.998656,0.0003678679,0.0007902252,0.00005126975,0.000002093467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08620055,0.000157895,0.9110366,0.00010049,0.00001235491,0.0001074724,0.0001131731,0.0002086608,0.002062814],"genre_scores_gemma":[0.9320754,0.0001566991,0.06679703,0.00003221209,0.00001241631,0.0001581869,0.0001614628,0.00004575127,0.000560751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003594497,"threshold_uncertainty_score":0.01336288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503804698927146,"score_gpt":0.2663572694823725,"score_spread":0.2513192224931011,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}