{"id":"W2160935860","doi":"10.1109/tie.2011.2112314","title":"Optimal Operation of Distribution Feeders in Smart Grids","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart grid; Linear programming; Mathematical optimization; Integer programming; Computer science; Nonlinear programming; Capacitor; Minification; Grid; Nonlinear system; Distributed generation; Voltage; AC power; Engineering; Control engineering; Renewable energy; Electrical engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002092942,0.0001965116,0.0002193776,0.0001405045,0.00006178666,0.00001666008,0.0001335429,0.0003155384,0.0001072677],"category_scores_gemma":[0.000008181505,0.0002288433,0.00009472606,0.0004628213,0.00004921395,0.0002613703,7.451534e-7,0.0006713014,0.00002424914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000673541,"about_ca_system_score_gemma":0.0001210538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001199256,"about_ca_topic_score_gemma":0.0001498127,"domain_scores_codex":[0.9987484,0.00004619632,0.0004270379,0.0001952413,0.0001893192,0.0003938576],"domain_scores_gemma":[0.9996172,0.00002741818,0.00004303335,0.0001964617,0.00004808759,0.00006776454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006091316,0.0005284498,0.0001015385,0.00002541066,0.0001255505,0.000004396456,0.0003869261,0.9679798,0.01103171,0.0009799058,0.0008685117,0.01735865],"study_design_scores_gemma":[0.004053016,0.001778269,0.0003713244,0.00009218483,0.0001291591,0.00001479678,0.0002918602,0.1468468,0.8437928,0.0001025415,0.001794512,0.0007326913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5074124,0.00005075911,0.4902078,0.00002066216,0.0008981747,0.0003361086,0.0002031926,0.0001648056,0.0007060525],"genre_scores_gemma":[0.9994971,0.00008137652,0.0001929635,0.000004933135,0.00004107528,0.00004365427,0.00009291265,0.00002740542,0.00001860005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8327611,"threshold_uncertainty_score":0.9331958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690257739986315,"score_gpt":0.214138806315699,"score_spread":0.1872362289158359,"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."}}