{"id":"W1967660384","doi":"10.1109/ias.2011.6074296","title":"Resolution-level controlled wind energy conversion system for PM generators","year":2011,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wind power; AC power; Permanent magnet synchronous generator; Controller (irrigation); Wind speed; Voltage; Inverter; Computer science; Generator (circuit theory); Grid; Power (physics); Control theory (sociology); Automotive engineering; Electrical engineering; Engineering; Control (management); Physics","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":[0.0002141541,0.0002635799,0.0002565095,0.0001820568,0.0001583506,0.0003450337,0.0006644346,0.0001809463,0.002438336],"category_scores_gemma":[0.0004696383,0.000129918,0.000115639,0.0001267982,0.0001417403,0.000354091,0.0001841177,0.0003770943,0.0005149709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371633,"about_ca_system_score_gemma":0.0001417836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002923741,"about_ca_topic_score_gemma":0.0004103438,"domain_scores_codex":[0.9997949,0.00002838647,0.0000140124,0.00003741572,0.0001118183,0.0000134348],"domain_scores_gemma":[0.9997842,0.00004886611,0.00003658158,0.00005539892,0.00006177745,0.00001328832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000806935,0.0003811031,0.003645221,0.0004978621,0.00005624955,0.0005158809,0.0002461314,0.02401665,0.5991294,0.00390166,0.002617449,0.3641855],"study_design_scores_gemma":[0.0005764503,0.002737742,0.00949155,0.00005765891,0.00008965895,0.001128074,0.00004498757,0.4395899,0.5220333,0.00144405,0.02274281,0.00006378007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3029704,0.0003514867,0.6789736,0.0001345012,0.0001320664,0.0002956121,0.000154802,0.005540568,0.01144696],"genre_scores_gemma":[0.9526398,0.00006628752,0.04475756,0.00003811215,0.00002099772,0.00008538103,0.00009027336,0.00003881087,0.002262761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002438336,"threshold_uncertainty_score":0.008157074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646183514643521,"score_gpt":0.1679647114826431,"score_spread":0.1515028763362079,"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."}}