{"id":"W2118507876","doi":"10.1016/j.renene.2007.03.002","title":"A novel maximum power fuzzy logic controller for photovoltaic solar energy systems","year":2007,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Chopper; Control theory (sociology); Photovoltaic system; Maximum power point tracking; Maximum power principle; Controller (irrigation); Voltage; Computer science; Automotive engineering; Engineering; Electrical engineering; 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":[0.0002178685,0.0004057921,0.0005012058,0.0002240848,0.0004314879,0.0007321342,0.001119625,0.0006521228,0.003092913],"category_scores_gemma":[0.0002786442,0.0002058676,0.0002586813,0.0002120737,0.0001507793,0.000419824,0.000274017,0.0006320369,0.0005168459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146767,"about_ca_system_score_gemma":0.0002926094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466493,"about_ca_topic_score_gemma":0.004086534,"domain_scores_codex":[0.9998424,0.00001665152,0.00001018804,0.00003508243,0.00007990076,0.00001587931],"domain_scores_gemma":[0.999904,0.00002678058,0.00001182102,0.000009087222,0.00004204979,0.000006162106],"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":[0.000609524,0.000357812,0.000451411,0.0005025121,0.0001404285,0.0004591476,0.0001344443,0.1827981,0.1417287,0.01325099,0.005538282,0.6540287],"study_design_scores_gemma":[0.0001163359,0.000244024,0.0003673237,0.00002280136,0.00004435953,0.0001853017,0.00001333535,0.9725572,0.01844104,0.00196406,0.006025372,0.00001866414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02512582,0.0007192042,0.9608936,0.0001720036,0.0002481761,0.00007013158,0.00004449323,0.0008614991,0.0118651],"genre_scores_gemma":[0.831327,0.0002966005,0.1599546,0.0001982634,0.000129714,0.0001212289,0.00005780413,0.00003705654,0.007877674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003092913,"threshold_uncertainty_score":0.01034683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641303679140601,"score_gpt":0.2407884367272971,"score_spread":0.2243753999358911,"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."}}