{"id":"W4214937355","doi":"10.18280/mmep.090121","title":"Development of New Admittance Matrix for Newton-Raphson Power Flow in Distribution Networks","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Admittance parameters; Admittance; Voltage; MATLAB; Matrix (chemical analysis); Control theory (sociology); Electronic engineering; Power (physics); Newton's method; Computer science; Topology (electrical circuits); Engineering; Electrical engineering; Electrical impedance; Physics; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007755765,0.000990304,0.0004969557,0.0008572588,0.0005011984,0.0009826111,0.0008314156,0.0006689289,0.003920469],"category_scores_gemma":[0.001817562,0.0003333398,0.0007105214,0.0008944887,0.0005609018,0.001820806,0.000635299,0.001137437,0.0008620914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008080578,"about_ca_system_score_gemma":0.0009578956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004891738,"about_ca_topic_score_gemma":0.004238402,"domain_scores_codex":[0.9994839,0.0001631112,0.0000244906,0.00005567614,0.0002440146,0.00002869474],"domain_scores_gemma":[0.9994868,0.0001953653,0.00006309704,0.00003827368,0.000192152,0.00002415392],"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":[0.00004506407,0.00005667775,0.0006316403,0.000249752,0.00002693029,0.0003161695,0.0002603131,0.7706323,0.01182901,0.1253843,0.002897559,0.08767018],"study_design_scores_gemma":[0.00000454418,0.00002426078,0.0001126577,0.0000142816,0.000003804688,0.00006712326,0.00002526299,0.9821616,0.00121839,0.01248392,0.003872713,0.00001151429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003624597,0.0001495007,0.9936001,0.00007372803,0.00004879059,0.00003895111,0.00003991776,0.0001229219,0.002301494],"genre_scores_gemma":[0.3265528,0.00137571,0.6623567,0.0001072553,0.0001286207,0.0004255091,0.0003499132,0.0002777624,0.008425803],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004891738,"threshold_uncertainty_score":0.01311529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588114517941485,"score_gpt":0.2116788614804514,"score_spread":0.1957977163010365,"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."}}