{"id":"W1967458185","doi":"10.1109/apec.2014.6803757","title":"Micro grid based PMSG feeding isolated loads","year":2014,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Agence Universitaire de la Francophonie; Canada Research Chairs","keywords":"Maximum power point tracking; Permanent magnet synchronous generator; Wind power; Control theory (sociology); Rectifier (neural networks); Power optimizer; Turbine; Voltage; AC power; Variable speed wind turbine; Computer science; Maximum power principle; Boost converter; Engineering; Inverter; Electrical engineering; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006737223,0.0002609882,0.0002958561,0.0001389788,0.0002221214,0.0003297812,0.0003841802,0.0001844211,0.001866454],"category_scores_gemma":[0.00009700434,0.0001065611,0.000121291,0.0001437911,0.0001665625,0.0001961667,0.0001675616,0.0002138199,0.0004444939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150963,"about_ca_system_score_gemma":0.000130908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004033892,"about_ca_topic_score_gemma":0.000881208,"domain_scores_codex":[0.9999233,0.00001289439,0.000004335026,0.0000214007,0.00003137361,0.000006739637],"domain_scores_gemma":[0.9999202,0.00001771665,0.00002057645,0.00001130756,0.00002292456,0.0000071823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008073023,0.0003158663,0.003889637,0.0009753227,0.0001261565,0.001115933,0.0004033214,0.3175914,0.3179014,0.01181648,0.007017984,0.3380391],"study_design_scores_gemma":[0.00013803,0.001408749,0.003701607,0.00003353627,0.00005023389,0.000419268,0.00006775172,0.9035819,0.07100913,0.003135704,0.01642989,0.0000241456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3478215,0.000428535,0.6206295,0.0003070255,0.0002615959,0.0002288336,0.0001947872,0.003338069,0.02679018],"genre_scores_gemma":[0.9833646,0.00006480319,0.01209757,0.00002414015,0.00001627459,0.00005139561,0.00002782938,0.00002389872,0.004329404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001866454,"threshold_uncertainty_score":0.006243944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002624332311391629,"score_gpt":0.1533590234964702,"score_spread":0.1507346911850786,"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."}}