{"id":"W1549224792","doi":"10.1109/jestpe.2015.2432677","title":"A Sensorless Adaptive Maximum Power Point Extraction Method With Voltage Feedback Control for Small Wind Turbines in Off-Grid Applications","year":2015,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Maximum power point tracking; Wind power; Anemometer; Control theory (sociology); Computer science; Power optimizer; Maximum power principle; Wind speed; Renewable energy; Voltage; Engineering; Electrical engineering; Control (management); Inverter","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":[0.0001376865,0.0003066775,0.000262544,0.0001684798,0.0001945596,0.0003110607,0.0005196272,0.0002882811,0.001304218],"category_scores_gemma":[0.0002594725,0.0001287303,0.0001437107,0.0001779132,0.0001783089,0.0004179034,0.0001757159,0.0003191032,0.000222626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380666,"about_ca_system_score_gemma":0.0001533804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005232537,"about_ca_topic_score_gemma":0.00104797,"domain_scores_codex":[0.9998813,0.00001897568,0.000006729443,0.00002946935,0.00005828918,0.000005312731],"domain_scores_gemma":[0.9999293,0.00002123031,0.00001549438,0.000008221675,0.00002177053,0.000003927995],"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":[0.0002835544,0.0001627828,0.0005931546,0.0003237842,0.00003314995,0.0002714342,0.0001767177,0.04941709,0.3499154,0.006794351,0.002649916,0.5893787],"study_design_scores_gemma":[0.0000652955,0.0006274793,0.001522497,0.00003243209,0.00002644519,0.000287204,0.00002722344,0.9299304,0.05323591,0.001494742,0.01272359,0.00002668946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02028878,0.0004435137,0.9755284,0.00009746187,0.00009582879,0.00006584137,0.0000159264,0.0006067961,0.002857439],"genre_scores_gemma":[0.8538142,0.0003086442,0.1413119,0.00008492671,0.00004759974,0.00009400844,0.00003506954,0.00003062532,0.004273081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001304218,"threshold_uncertainty_score":0.004363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192820043607933,"score_gpt":0.2477196592970841,"score_spread":0.2357914588610048,"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."}}