{"id":"W4409867148","doi":"10.18280/jesa.580302","title":"Sensorless Wind Speed Estimation Using PSO for Multi-Objective Finite-State Predictive Torque Control in Grid-Connected Wind Turbines","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Wind power; Torque; Grid; Wind speed; Model predictive control; Computer science; Control (management); Engineering; Mathematics; Physics; Meteorology; 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":[0.0004571462,0.0005441928,0.0005784718,0.0002352681,0.0002157336,0.0005687108,0.0005570392,0.0004095741,0.000604015],"category_scores_gemma":[0.001039307,0.0003130277,0.0003373136,0.0002211934,0.0003108878,0.0004056797,0.0003181885,0.0005873537,0.0001147125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033354,"about_ca_system_score_gemma":0.0003412469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878619,"about_ca_topic_score_gemma":0.002800028,"domain_scores_codex":[0.9997969,0.00005292641,0.0000138884,0.00003724498,0.00008458527,0.00001440606],"domain_scores_gemma":[0.9996789,0.0001597831,0.00005720265,0.0000278772,0.00006570323,0.00001061201],"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":[0.00005399613,0.00002803329,0.0004391544,0.0001088488,0.00003553297,0.00007549195,0.00004676676,0.9451995,0.00470382,0.001874516,0.0004221261,0.04701219],"study_design_scores_gemma":[0.000003291115,0.00001078448,0.00007746575,0.000002450718,0.000002410759,0.000004236804,0.000001497637,0.9991658,0.0004099904,0.0002021132,0.0001184508,0.000001615856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01804941,0.0001950883,0.9798915,0.00005299614,0.00004468788,0.000019274,0.00001128971,0.0002777419,0.001458009],"genre_scores_gemma":[0.9191172,0.0001548015,0.0796005,0.00003833379,0.0000244098,0.00006258802,0.00003811471,0.00003687045,0.0009271286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002878619,"threshold_uncertainty_score":0.005723715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785281627000313,"score_gpt":0.2606476363738232,"score_spread":0.24279482010382,"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."}}