{"id":"W2071213567","doi":"10.1109/acc.2010.5531355","title":"Multiple model MIMO predictive control for variable speed variable pitch wind turbines","year":2010,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Wind power; Turbine; Model predictive control; Torque; Controller (irrigation); Operating point; Actuator; Pitch control; Power (physics); Variable speed wind turbine; Wind speed; Multivariable calculus; Computer science; Variable (mathematics); Engineering; Control engineering; Permanent magnet synchronous generator; Control (management); Voltage; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615989,0.0001917558,0.0002378395,0.00005911593,0.00008248489,0.00006357359,0.0001469973,0.0001732138,0.0002134064],"category_scores_gemma":[0.0001003855,0.0001729472,0.0000579986,0.0001161229,0.00001800203,0.000243443,0.00001413944,0.0001739567,0.000014253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002149796,"about_ca_system_score_gemma":0.00003883617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000542924,"about_ca_topic_score_gemma":0.00002561319,"domain_scores_codex":[0.9991112,0.000006653229,0.0002302829,0.0002159889,0.00009255345,0.0003432858],"domain_scores_gemma":[0.9993401,0.0001392841,0.0000298779,0.000230093,0.0001664164,0.00009428802],"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":[0.00006587504,0.00002894929,0.0001404133,0.00002747773,0.00007237415,1.616065e-7,0.00004166069,0.8711775,0.123285,0.001771845,0.003156188,0.0002325426],"study_design_scores_gemma":[0.002902044,0.00003039139,0.00003950749,0.000006356002,0.00006135397,0.000001986701,0.00001039524,0.9866287,0.002623424,0.001465858,0.006021572,0.0002084211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004062194,0.00009538287,0.9830441,0.0000557826,0.0006686382,0.0007633914,0.0001793503,0.0004645052,0.01066667],"genre_scores_gemma":[0.8283474,0.00001652308,0.1680327,0.0001820053,0.0004482287,0.00005736429,0.00008426588,0.00006985072,0.002761607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8242853,"threshold_uncertainty_score":0.7052583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004484387893832125,"score_gpt":0.1767735764528357,"score_spread":0.1722891885590036,"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."}}