{"id":"W2262192964","doi":"10.1109/tcns.2017.2722818","title":"Online Distributed Voltage Stress Minimization by Optimal Feedback Reactive Power Control","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Minification; Convex optimization; Voltage; Control theory (sociology); AC power; Optimization problem; Optimal control; Power (physics); Electric power system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002827121,0.0003489607,0.0007673769,0.00007060966,0.0003365517,0.0001546115,0.0003723892,0.0002537566,0.00006267602],"category_scores_gemma":[0.00002292798,0.0003461849,0.0002029417,0.0001292766,0.0001068634,0.000346579,0.000001240666,0.0002811459,0.00001257823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594059,"about_ca_system_score_gemma":0.00003447319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007890036,"about_ca_topic_score_gemma":0.00006920321,"domain_scores_codex":[0.9979431,0.0001522023,0.0008008922,0.000339677,0.0003397835,0.000424347],"domain_scores_gemma":[0.9980745,0.0002542536,0.0003787862,0.0008411101,0.0002715115,0.0001798346],"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":[0.00024095,0.0002413864,0.0003000738,0.00008589005,0.0003100162,0.000003117499,0.00008304408,0.9959573,0.0004750236,0.00001887724,0.002098439,0.0001858416],"study_design_scores_gemma":[0.004485893,0.0001592017,0.001047592,0.0002236768,0.0001494857,0.000005491407,0.000183926,0.9911255,0.0003787411,0.000001749772,0.001864602,0.0003741229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006028557,0.0003868332,0.9825695,0.00006923462,0.003064896,0.0009881164,0.006102565,0.0002510964,0.0005391756],"genre_scores_gemma":[0.9993548,0.00003178015,0.0000980246,0.00002009104,0.00009336103,0.00006821845,0.00009498157,0.00005786648,0.0001808643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933262,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008083469051821293,"score_gpt":0.2152281552289138,"score_spread":0.2071446861770925,"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."}}