{"id":"W4388557541","doi":"10.23977/jeis.2023.080410","title":"Multi-peak MPPT Control Based on Variable Step Disturbance Observation Method and Butterfly Optimization Algorithm","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maximum power point tracking; Control theory (sociology); Photovoltaic system; Robustness (evolution); Population; Maximum power principle; Computer science; Algorithm; Mathematical optimization; Mathematics; Engineering; Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002656638,0.0001127901,0.0001911985,0.0005255169,0.0002360724,0.0002640215,0.0001866841,0.00006140981,0.000008434179],"category_scores_gemma":[0.0004583259,0.00009467825,0.00002648805,0.001229189,0.00006432532,0.003896116,0.0000228742,0.0001476841,0.000002114956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599997,"about_ca_system_score_gemma":0.0002794272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000264493,"about_ca_topic_score_gemma":0.000001120552,"domain_scores_codex":[0.9984629,0.00006564434,0.0005846455,0.0001157862,0.0005326062,0.0002384111],"domain_scores_gemma":[0.9982543,0.0001394422,0.000633942,0.0001352789,0.0007438064,0.00009323074],"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":[0.00003703764,0.00001847062,0.0001636458,0.00001841787,0.000007852712,4.582975e-7,0.0001575062,0.9694769,0.002413174,0.005153023,0.0002106081,0.02234286],"study_design_scores_gemma":[0.0009265341,0.0002299659,0.001481909,0.00004416129,0.00001037335,0.00001540032,0.00004057053,0.9871508,0.002165668,0.0001631463,0.007670177,0.0001013168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00114991,0.00005807743,0.9977148,0.0002806712,0.0001144439,0.0001753886,0.000007449961,0.00005599652,0.0004433335],"genre_scores_gemma":[0.2808607,0.0006649389,0.71661,0.001677034,0.0000536915,0.00002254745,0.00002403138,0.00001419435,0.00007289914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2811047,"threshold_uncertainty_score":0.3860867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120401750292602,"score_gpt":0.2623742327996431,"score_spread":0.2511702152967171,"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."}}