{"id":"W2050474588","doi":"10.1109/tsg.2013.2239669","title":"Multi-Objective Optimization for the Operation of an Electric Distribution System With a Large Number of Single Phase Solar Generators","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multi-objective optimization; Mathematical optimization; Photovoltaic system; Sizing; Context (archaeology); Genetic algorithm; Engineering; Probabilistic logic; Distributed generation; Solar energy; Solar irradiance; Voltage; Electronic engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001757259,0.001706795,0.001073868,0.001079186,0.0006308844,0.00126577,0.0005930289,0.00118896,0.002740933],"category_scores_gemma":[0.002086333,0.0007013461,0.0009299116,0.001283641,0.0005871424,0.0008832066,0.000740058,0.001261273,0.0003133167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465522,"about_ca_system_score_gemma":0.001555063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007892418,"about_ca_topic_score_gemma":0.008539165,"domain_scores_codex":[0.9995433,0.0002468793,0.0000139646,0.00004947531,0.00009751584,0.00004899656],"domain_scores_gemma":[0.9991973,0.000606122,0.00007461663,0.00001572392,0.00007872583,0.00002754601],"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":[0.00001269759,0.00001297207,0.00007803925,0.0000237082,0.0000114853,0.00001582767,0.000007380632,0.9954396,0.0001135266,0.0007657905,0.00008628854,0.003432838],"study_design_scores_gemma":[0.000004348254,0.00001411116,0.00004343101,0.000003048533,0.000003322014,0.000001979032,0.000004938386,0.9992579,0.00005410951,0.0005130935,0.00009829432,0.000001501542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04625316,0.0008914134,0.9466474,0.0003756355,0.00005175448,0.0001693895,0.0001215137,0.0001576771,0.005332097],"genre_scores_gemma":[0.7403564,0.0009349859,0.2508438,0.0001048255,0.00006270164,0.0005928784,0.0002238202,0.0001169445,0.006763707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007892418,"threshold_uncertainty_score":0.01569301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008876241397914491,"score_gpt":0.2290830859218585,"score_spread":0.220206844523944,"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."}}