{"id":"W2804659486","doi":"10.1049/iet-gtd.2017.1887","title":"GPU‐based parallel real‐time volt/var optimisation for distribution network considering distributed generators","year":2018,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Computer science; Volt; Electrical engineering; Engineering; Voltage","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001850173,0.00047555,0.0004845673,0.0002528573,0.0002376357,0.0004806213,0.0004645959,0.0004158502,0.002080852],"category_scores_gemma":[0.0005926396,0.0002120327,0.0003566835,0.0003494248,0.0002674453,0.0003319435,0.0003808064,0.0003852757,0.0002049782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506212,"about_ca_system_score_gemma":0.0005610663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008839874,"about_ca_topic_score_gemma":0.008454093,"domain_scores_codex":[0.9999255,0.00002170556,0.000002440207,0.00001082037,0.00002520215,0.00001438864],"domain_scores_gemma":[0.9998748,0.00005673875,0.0000132984,0.00001197878,0.00003179946,0.0000112056],"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":[0.00005444537,0.00001808245,0.0004616305,0.00003234638,0.00001213211,0.00005174036,0.00002090368,0.9812645,0.001368148,0.001763916,0.0004719682,0.01448024],"study_design_scores_gemma":[0.000003057798,0.000005199159,0.00004461411,7.340647e-7,0.000001076174,0.000003058218,0.000002693432,0.9994561,0.0001172343,0.0002240577,0.000141501,6.708231e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1745317,0.0005185014,0.8022568,0.0002943393,0.0001046581,0.00006189068,0.0001116556,0.0008510058,0.02126938],"genre_scores_gemma":[0.901491,0.0001654811,0.09432097,0.00003853384,0.00002447947,0.00005942102,0.0001127212,0.0001116635,0.003675751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008839874,"threshold_uncertainty_score":0.01757681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167161828393504,"score_gpt":0.2362068725377919,"score_spread":0.2194906896984415,"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."}}