{"id":"W4403422971","doi":"10.1109/tia.2024.3481197","title":"Fuzzy Logic Scheduling of the Duty Cycle Perturbation for Optimized MPPT Controller of PV/Wind Hybrid System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Duty cycle; Control theory (sociology); Fuzzy logic; Maximum power point tracking; Photovoltaic system; Computer science; Perturbation (astronomy); Engineering; Control engineering; Voltage; Physics; Inverter; Electrical engineering; Control (management)","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":[0.000207249,0.0003651732,0.0002496482,0.0001933685,0.0002718929,0.0004825578,0.0004093551,0.0002660912,0.0006460752],"category_scores_gemma":[0.0003879973,0.0001349514,0.000169537,0.0001396013,0.000170044,0.0001709644,0.0001486352,0.0003111161,0.0001070418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333005,"about_ca_system_score_gemma":0.0004511663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003199611,"about_ca_topic_score_gemma":0.003564646,"domain_scores_codex":[0.9998566,0.00002298159,0.000009822127,0.00003073811,0.00006279885,0.00001702545],"domain_scores_gemma":[0.9998895,0.00003161595,0.00002589076,0.000009565166,0.00003760515,0.000005920632],"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":[0.000392653,0.0001307028,0.001060495,0.0001859223,0.00005505662,0.000146924,0.0001502815,0.7315679,0.07386677,0.003899903,0.001066696,0.1874767],"study_design_scores_gemma":[0.0000220314,0.00009767349,0.0004641794,0.000007466682,0.0000122907,0.00002905265,0.000009414534,0.9911055,0.007298003,0.0003676941,0.0005808111,0.000005896614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1309798,0.0003453043,0.8590348,0.0001027638,0.0000647078,0.0001343383,0.00004265926,0.0004836992,0.008811859],"genre_scores_gemma":[0.9733317,0.00006828098,0.02564721,0.00002336299,0.0000100937,0.00004599079,0.00001379769,0.000008600961,0.0008509595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003199611,"threshold_uncertainty_score":0.006361961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009039469820961632,"score_gpt":0.2214720039253492,"score_spread":0.2124325341043876,"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."}}