{"id":"W4320524124","doi":"10.1016/j.epsr.2023.109127","title":"Zone-oriented 2-stage distributed voltage control algorithm for active distribution networks","year":2023,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematical optimization; Computer science; Convergence (economics); Voltage; Volt; Convex optimization; AC power; Voltage regulator; Relaxation (psychology); Iterative method; Algorithm; Regular polygon; Engineering; Mathematics; Electrical engineering","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":[0.002304153,0.0003823951,0.0005294546,0.0004751519,0.0004822005,0.0002232534,0.0004467468,0.0004011752,0.00002593391],"category_scores_gemma":[0.0004193819,0.0004022885,0.0001902492,0.004757498,0.00007986803,0.0003227057,0.00007721126,0.0009784456,0.0002951641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526966,"about_ca_system_score_gemma":0.00012871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049154,"about_ca_topic_score_gemma":0.000006395001,"domain_scores_codex":[0.9952932,0.000282715,0.0006148958,0.0006159691,0.001047753,0.002145484],"domain_scores_gemma":[0.9972461,0.0008466466,0.00008303023,0.0005598965,0.0009173735,0.0003469541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008579941,0.000475074,0.0004281786,0.0006664554,0.001562577,0.0003211001,0.0003290599,0.2077597,0.02292788,0.006838713,0.7021982,0.05563512],"study_design_scores_gemma":[0.001440584,0.0003337412,0.0009474814,0.00004658462,0.00001845455,0.000008017215,0.0001824205,0.8813993,0.00139797,0.00001432447,0.1138541,0.0003570067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01213629,0.0009377374,0.9727387,0.00004763548,0.001645164,0.002657261,0.008268136,0.001291026,0.0002780012],"genre_scores_gemma":[0.9893371,0.0001009127,0.00002861122,0.000003843445,0.0003086954,0.00125545,0.007722218,0.0001066138,0.001136536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9772008,"threshold_uncertainty_score":0.9998429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779476805656943,"score_gpt":0.2934435020021832,"score_spread":0.2756487339456137,"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."}}