{"id":"W2111539613","doi":"10.1109/ccece.2004.1345317","title":"Development of a MPPT method for photovoltaic systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Maximum power point tracking; Photovoltaic system; Control theory (sociology); Nonlinear system; Maximum power principle; Computer science; Perturbation (astronomy); Point (geometry); Power (physics); Mathematical optimization; Mathematics; Engineering; Control (management); Physics; Artificial intelligence; Electrical engineering","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":[0.000288296,0.000479568,0.0005328996,0.0004010407,0.0003666736,0.0005713088,0.0008069097,0.0009532061,0.002754359],"category_scores_gemma":[0.0006474343,0.0003798653,0.0004739201,0.0006131562,0.0003531705,0.0007850167,0.0004184637,0.001436489,0.002272612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056661,"about_ca_system_score_gemma":0.0006112829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039409,"about_ca_topic_score_gemma":0.0008347864,"domain_scores_codex":[0.9997302,0.00003779706,0.000009430145,0.00005614853,0.0001578134,0.000008614468],"domain_scores_gemma":[0.9998201,0.00005925143,0.00001010666,0.00001438796,0.00008705793,0.000009225905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008025038,0.00006071589,0.0002657245,0.0006860216,0.00004824098,0.000245366,0.0001813766,0.1032745,0.09229528,0.06156955,0.005195508,0.7360975],"study_design_scores_gemma":[0.0000420097,0.0001352334,0.0004303975,0.0000934971,0.0000202636,0.0005087697,0.00002380206,0.8607199,0.03171751,0.02207985,0.08417085,0.00005792509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00081243,0.0004930319,0.9958508,0.00007055182,0.00008788451,0.00004335977,0.0000199014,0.000199223,0.002422738],"genre_scores_gemma":[0.04600794,0.001698816,0.941537,0.00009687692,0.0001304226,0.0002027608,0.00009374476,0.0001541496,0.0100782],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002754359,"threshold_uncertainty_score":0.009214282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770371076003989,"score_gpt":0.2997884070975207,"score_spread":0.2720846963374808,"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."}}