{"id":"W7127303043","doi":"10.1109/ccece64018.2025.11364412","title":"Comparative Study on the Application of Krylov and Singular Value Decomposition Techniques for Power System Model Reduction","year":2025,"lang":"","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Krylov subspace; Model order reduction; Reduction (mathematics); Electric power system; Singular value decomposition; Computational complexity theory; Decomposition; Control theory (sociology)","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":[0.001894916,0.0008135313,0.0009130708,0.001498694,0.0002945031,0.0008564142,0.0004269777,0.0004361348,0.00146537],"category_scores_gemma":[0.005066078,0.0002028931,0.0008673457,0.001498696,0.0003976886,0.001273496,0.0004936876,0.000645369,0.0003619496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354351,"about_ca_system_score_gemma":0.0004773729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091758,"about_ca_topic_score_gemma":0.003381372,"domain_scores_codex":[0.9987563,0.0004859239,0.00006257582,0.00008638421,0.0005530564,0.00005577713],"domain_scores_gemma":[0.9973662,0.001674048,0.0001177629,0.0002713357,0.0005331522,0.00003757885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005406312,0.0003495963,0.003002782,0.001063192,0.0003212349,0.0001552674,0.0003495799,0.3214172,0.01537301,0.02068648,0.001799605,0.6349414],"study_design_scores_gemma":[0.00004296852,0.0007416336,0.005157574,0.0001076099,0.0001244841,0.0001497509,0.0001846304,0.9629033,0.01625248,0.005917893,0.008368097,0.00004959532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3010515,0.02095568,0.6216722,0.0008817352,0.0002890937,0.0002318315,0.0002608137,0.001308439,0.05334873],"genre_scores_gemma":[0.7797951,0.01149221,0.2037405,0.00007236603,0.0001144093,0.00009819354,0.0004028667,0.0002458302,0.004038405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002091758,"threshold_uncertainty_score":0.01002145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310383227652178,"score_gpt":0.3305848947203819,"score_spread":0.3074810624438601,"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."}}