{"id":"W2145460317","doi":"10.1109/tpwrd.2009.2035425","title":"Optimal Capacitor Placement and Sizing in Unbalanced Distribution Systems With Harmonics Consideration Using Particle Swarm Optimization","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Sizing; Harmonics; Particle swarm optimization; Capacitor; Total harmonic distortion; Mathematical optimization; AC power; Control theory (sociology); Engineering; Voltage; Electric power system; Electronic engineering; Computer science; Power (physics); Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004078847,0.0004517053,0.0003941503,0.000294336,0.0002578943,0.000484013,0.0002206796,0.0003741158,0.0005360837],"category_scores_gemma":[0.0008119278,0.0003044908,0.0002038693,0.0002599561,0.0003287422,0.0004198802,0.0001845145,0.0002471127,0.00007691032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004274042,"about_ca_system_score_gemma":0.0006081121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005077823,"about_ca_topic_score_gemma":0.004353715,"domain_scores_codex":[0.999881,0.00004650534,0.000005755052,0.00001660098,0.00003701913,0.00001308869],"domain_scores_gemma":[0.9997905,0.0001241519,0.00003102424,0.00001151961,0.00003326663,0.000009633893],"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":[0.00003953538,0.00001907035,0.0003494591,0.00002088064,0.000009533142,0.00002350804,0.00002173348,0.980097,0.002173137,0.0016592,0.0002720843,0.01531481],"study_design_scores_gemma":[0.000007705326,0.00001209178,0.0001069413,0.00000123425,0.000002943084,0.000004530488,0.000004636563,0.9986915,0.0004944986,0.0005582409,0.0001142413,0.000001404734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1128266,0.0001683905,0.8836353,0.0001737607,0.00002736497,0.00004802774,0.00003095146,0.0001521006,0.002937566],"genre_scores_gemma":[0.8633785,0.0001559563,0.1350763,0.0000200674,0.00001568807,0.00004213757,0.00004229794,0.00002318032,0.00124599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005077823,"threshold_uncertainty_score":0.01009649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00936978969760297,"score_gpt":0.2003326471774569,"score_spread":0.1909628574798539,"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."}}