{"id":"W3202541459","doi":"10.3390/electronics10192419","title":"Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"King Saud University","keywords":"Maximum power point tracking; Photovoltaic system; Maximum power principle; Sorting; Computer science; Power (physics); Heuristic; Mathematical optimization; Control theory (sociology); Point (geometry); Mathematics; Algorithm; Engineering; Artificial intelligence; 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":[0.0006993319,0.0009358043,0.0008153318,0.001096695,0.0004716365,0.001098122,0.000867042,0.000935061,0.001889864],"category_scores_gemma":[0.001254247,0.0005111824,0.001050639,0.001254618,0.0003872453,0.0005626627,0.0004692634,0.0007919073,0.00030308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813555,"about_ca_system_score_gemma":0.001046742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004709213,"about_ca_topic_score_gemma":0.004550955,"domain_scores_codex":[0.9996998,0.0001280916,0.00002067696,0.00003946789,0.00007737814,0.00003458769],"domain_scores_gemma":[0.9997309,0.000153406,0.00004157978,0.00001520515,0.00004854678,0.00001039443],"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":[0.00002887048,0.0000267258,0.0003108256,0.0001318993,0.00006497098,0.00006414751,0.00003896402,0.9643708,0.000858195,0.004771355,0.0005703594,0.02876299],"study_design_scores_gemma":[0.00001158881,0.00004266015,0.0001306376,0.00003799831,0.00002256886,0.00002669515,0.00002355454,0.9951662,0.000553747,0.002550076,0.001427675,0.000006646817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03343485,0.003831547,0.9443884,0.0003963076,0.0001241092,0.0002184142,0.000148568,0.0003369554,0.01712095],"genre_scores_gemma":[0.5973659,0.003246639,0.3920035,0.0001826944,0.0000827506,0.0006119823,0.0002286496,0.0001279933,0.006149864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004709213,"threshold_uncertainty_score":0.009363592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139744812999019,"score_gpt":0.2608411203767364,"score_spread":0.2394436722467462,"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."}}