{"id":"W2344299036","doi":"10.1109/tpwrs.2015.2504461","title":"A Sequential Power Flow Algorithm for Islanded Hybrid AC/DC Microgrids","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Converters; Algorithm; Computer science; AC power; Power flow; Electric power system; Control theory (sociology); Voltage; Newton's method; Power (physics); Engineering; Nonlinear system; 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":[0.0002118904,0.000280827,0.0003209814,0.0001779059,0.0001026488,0.000139999,0.0001619196,0.000136745,0.00006150133],"category_scores_gemma":[0.000002272755,0.0002765006,0.0001956474,0.0001588096,0.00002485761,0.0002027138,8.021466e-7,0.0001844583,0.0001268499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666546,"about_ca_system_score_gemma":0.00005234592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003381904,"about_ca_topic_score_gemma":0.00001197822,"domain_scores_codex":[0.9986754,0.00004198663,0.0003869457,0.0002807984,0.0002235385,0.0003913481],"domain_scores_gemma":[0.9992515,0.00003569117,0.00004480568,0.0003114683,0.0001681943,0.0001883657],"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":[0.00009871795,0.0001651535,0.000001027543,0.00006783791,0.0004128424,0.00001731722,0.0008374052,0.959178,0.003916012,0.000007473028,0.01948307,0.01581514],"study_design_scores_gemma":[0.002466909,0.0002280824,0.000001058898,0.00005330681,0.00008378206,0.0001015411,0.0001695222,0.9287753,0.0118763,0.00001021929,0.05581692,0.0004170708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000893452,0.0009276014,0.9866176,0.00003542838,0.009119784,0.0007651236,0.0004984656,0.000527742,0.000614809],"genre_scores_gemma":[0.9925747,0.00005303056,0.005894026,0.00005183501,0.0001201393,0.0003152056,0.00004093636,0.0001013326,0.0008488218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9916812,"threshold_uncertainty_score":0.9999687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242844874702033,"score_gpt":0.211624125386284,"score_spread":0.1991956766392637,"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."}}