{"id":"W4390341600","doi":"10.18280/jesa.560607","title":"Modeling and Control Strategies for DFIG in Wind Turbines: A Comparative Analysis of SPWM, THIPWM, and SVPWM Techniques","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Doubly fed electric machine; Control theory (sociology); Wind power; Computer science; Control (management); Control engineering; Engineering; AC power; Voltage; Electrical engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007718207,0.0002771031,0.001027609,0.001123387,0.0001013446,0.0002303197,0.0001561048,0.0001060225,0.000004324939],"category_scores_gemma":[0.00007295416,0.0002384682,0.0001507674,0.0009696226,0.00007448658,0.0004539038,0.00002921388,0.0002315305,0.00000138338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008121484,"about_ca_system_score_gemma":0.00004586681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007553938,"about_ca_topic_score_gemma":0.0001190503,"domain_scores_codex":[0.9981645,0.00014876,0.0008794228,0.0002117063,0.000237396,0.0003581593],"domain_scores_gemma":[0.9990634,0.0003177971,0.000176199,0.0001617231,0.000169354,0.000111572],"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":[0.0001053507,0.00004022701,0.01622108,0.001372476,0.003139083,0.00007990924,0.008564929,0.9347022,0.02114607,0.001280955,0.0002712091,0.01307648],"study_design_scores_gemma":[0.0008736397,0.00009653429,0.125314,0.0003342817,0.000358328,0.00005812651,0.00131578,0.8698086,0.00008464704,0.001526855,0.00002763187,0.0002016495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656186,0.00259801,0.0302569,0.00004264792,0.0001029516,0.0005592326,0.00005367631,0.0003524402,0.0004155804],"genre_scores_gemma":[0.9983197,0.0001884013,0.001283553,0.000009964079,0.00009522907,0.00003391798,0.0000055541,0.00003749096,0.00002616406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090929,"threshold_uncertainty_score":0.9724452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506502316147389,"score_gpt":0.2694063596705771,"score_spread":0.2443413365091032,"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."}}