{"id":"W3203503035","doi":"10.1109/icjece.2021.3097447","title":"Load Flow Analysis With Newton–Raphson and Gauss–Seidel Methods in a Hybrid AC/DC System","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gauss–Seidel method; Newton's method; AC power; Control theory (sociology); MATLAB; Electric power system; Iterative method; Slack bus; Converters; Computer science; Power (physics); Voltage; Generator (circuit theory); Power-flow study; Mathematics; Algorithm; Engineering; Electrical engineering; Nonlinear system; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006112401,0.000604104,0.0005805289,0.0007778479,0.0004838532,0.0007182751,0.0003373226,0.0005454695,0.00119363],"category_scores_gemma":[0.0008036926,0.0002986299,0.0003703673,0.0005201949,0.0004121806,0.0006129564,0.0002700381,0.0003271814,0.0001644198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285353,"about_ca_system_score_gemma":0.0007280092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238655,"about_ca_topic_score_gemma":0.007277125,"domain_scores_codex":[0.9997627,0.00008976492,0.0000137891,0.00003358809,0.00008129267,0.00001877334],"domain_scores_gemma":[0.9994331,0.0003004064,0.00004774004,0.00002419641,0.0001796944,0.00001483726],"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":[0.00009101976,0.00006949869,0.001211354,0.00008648732,0.00002764166,0.0001000568,0.0001287896,0.9491296,0.004279227,0.002783609,0.0002589902,0.04183369],"study_design_scores_gemma":[0.000003866168,0.0000154263,0.0001195734,0.000001408078,0.000002247766,0.000005422914,0.000009917032,0.9989102,0.0005421683,0.0002150238,0.000171848,0.000002825343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1659703,0.0002198791,0.8273228,0.00009665354,0.00003111073,0.0001295393,0.00006163074,0.0006377327,0.005530377],"genre_scores_gemma":[0.8451597,0.0001638897,0.1509874,0.00002839864,0.00001733777,0.0001338415,0.00005964694,0.00007506932,0.003374702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01238655,"threshold_uncertainty_score":0.02462894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003765495454874111,"score_gpt":0.188249466157764,"score_spread":0.1844839707028899,"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."}}