{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003000989,0.0009616572,0.0005130522,0.0004881632,0.0003630923,0.0009613247,0.0007939027,0.0009758999,0.001282746],"category_scores_gemma":[0.00043697,0.0002921952,0.0005507079,0.0005738827,0.0002425698,0.001003478,0.0002802422,0.0007324674,0.0005926628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927048,"about_ca_system_score_gemma":0.0004120881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282743,"about_ca_topic_score_gemma":0.003115327,"domain_scores_codex":[0.9998215,0.00005386661,0.00001213708,0.00002601155,0.00007788235,0.000008652084],"domain_scores_gemma":[0.9998991,0.0000361195,0.00002165998,0.000008256832,0.00003079196,0.000003986929],"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":[0.00007532304,0.0001121225,0.001036672,0.0007212062,0.00005682493,0.0003393763,0.0002267206,0.8019153,0.01232747,0.01877621,0.001317783,0.163095],"study_design_scores_gemma":[0.000007847828,0.0001086188,0.0004075338,0.00007674551,0.00001768878,0.0000839163,0.00005345966,0.9868917,0.001986127,0.00296187,0.007393288,0.00001114155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02095499,0.00493657,0.9574859,0.0003182237,0.00009933134,0.0001403329,0.0001162762,0.0004212933,0.0155271],"genre_scores_gemma":[0.8039262,0.01283681,0.1695228,0.0001215084,0.0001381059,0.0004539326,0.0003137518,0.000128901,0.01255797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003282743,"threshold_uncertainty_score":0.006527305,"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."}}