{"id":"W2082757290","doi":"10.1049/iet-rpg:20060008","title":"High-performance voltage control scheme for wind park integration","year":2007,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Decoupling (probability); Control theory (sociology); Voltage controller; AC power; Voltage; Controller (irrigation); Voltage regulation; Induction generator; Voltage regulator; Wind power; Engineering; Compensation (psychology); Voltage optimisation; Computer science; Voltage droop; Control engineering; Control (management); 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":[0.000218174,0.000315876,0.0002516542,0.0002127824,0.0002152142,0.0005359167,0.0005855411,0.0003103095,0.002323695],"category_scores_gemma":[0.0003449255,0.0001021735,0.0001086223,0.00014219,0.0002167965,0.0004029398,0.0002630012,0.0005118623,0.0004104409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122805,"about_ca_system_score_gemma":0.0002296604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003925339,"about_ca_topic_score_gemma":0.0006780354,"domain_scores_codex":[0.9998077,0.00002386507,0.00001564435,0.00004601779,0.00008670223,0.00002016694],"domain_scores_gemma":[0.9998332,0.00002129397,0.00002385441,0.00003673861,0.00006990165,0.00001497481],"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":[0.0004314827,0.0003531353,0.0008740804,0.0001938236,0.00004614117,0.0003628435,0.0001734922,0.05833767,0.3267428,0.02476868,0.003985486,0.5837305],"study_design_scores_gemma":[0.000284295,0.001325417,0.001672482,0.00003569854,0.00005102468,0.0005689428,0.00003086851,0.789739,0.1640811,0.007400346,0.03476086,0.00005002986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05004549,0.0002423664,0.9414553,0.00009526671,0.0001972623,0.0001227765,0.00003596273,0.001841299,0.005964326],"genre_scores_gemma":[0.9234027,0.0000759153,0.07279654,0.00004508053,0.00006056919,0.00007675393,0.0000539102,0.0000265945,0.003461984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002323695,"threshold_uncertainty_score":0.007773519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009292448988415547,"score_gpt":0.2053000413838028,"score_spread":0.1960075923953873,"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."}}