{"id":"W2536052462","doi":"10.1109/iecon.2008.4758055","title":"Integrated three-leg VSC with a zig-zag transformer based three-phase four-wire DSTATCOM for power quality improvement","year":2008,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Distribution transformer; Power factor; Harmonics; Isolation transformer; AC power; Engineering; Transformer; Voltage source; Three-phase; Electronic engineering; Delta-wye transformer; Switched-mode power supply; Energy efficient transformer; Electric power system; Control theory (sociology); Electrical engineering; Voltage; Computer science; Power (physics); Physics","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":[0.0001229529,0.0003580524,0.0003483885,0.0004304163,0.0002458779,0.0005442639,0.0005936066,0.0003460749,0.003485478],"category_scores_gemma":[0.0001936926,0.0001245804,0.0002438698,0.0006090149,0.0001458677,0.0004440514,0.0002025209,0.0004004845,0.0008055588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004179647,"about_ca_system_score_gemma":0.0003394364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586853,"about_ca_topic_score_gemma":0.003266449,"domain_scores_codex":[0.9998399,0.00002895797,0.00001291638,0.00002735887,0.00007377553,0.00001704544],"domain_scores_gemma":[0.9998367,0.000018509,0.00002259302,0.00002459058,0.00008221568,0.00001533183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001314188,0.000351139,0.004890519,0.0006302363,0.0002478107,0.0005131994,0.0002261916,0.04979541,0.4084614,0.01870402,0.0086379,0.5062279],"study_design_scores_gemma":[0.0006038014,0.002660257,0.01013612,0.000132764,0.0005713982,0.002248292,0.00009705032,0.5714607,0.2867471,0.006146286,0.1190776,0.0001185811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916739,0.0006941307,0.7767672,0.0002188513,0.0002829204,0.0002605445,0.0002932749,0.005133125,0.02467609],"genre_scores_gemma":[0.9359959,0.0002444674,0.05668854,0.0001055824,0.0000533237,0.00005613899,0.0003470882,0.00008264829,0.006426294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003485478,"threshold_uncertainty_score":0.01166004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271857787979303,"score_gpt":0.2818117012955807,"score_spread":0.2190931234157877,"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."}}