{"id":"W2134802314","doi":"10.1109/pesc.2007.4341978","title":"Evaluating the Effectiveness of Maximum Power Point Tracking Methods in Photovoltaic Power Systems using Array Performance Models","year":2007,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maximum power point tracking; Photovoltaic system; Maximum power principle; Power (physics); Power optimizer; Point (geometry); Computer science; Operating point; Tracking (education); Voltage; Electronic engineering; Inverter; Control theory (sociology); Electrical engineering; Engineering; Mathematics; Control (management); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002580864,0.001085344,0.0007190086,0.0007603057,0.0003467762,0.000977546,0.0006450112,0.001196468,0.0009806822],"category_scores_gemma":[0.01061645,0.0004549241,0.0005569381,0.0005987537,0.0003389634,0.001580106,0.0005431304,0.0007031049,0.0002172716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000866987,"about_ca_system_score_gemma":0.0005467351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005279463,"about_ca_topic_score_gemma":0.003085085,"domain_scores_codex":[0.9985994,0.0006595175,0.00007054537,0.0001298233,0.0004565661,0.00008414776],"domain_scores_gemma":[0.9934161,0.005322938,0.000480739,0.0003485268,0.0003740766,0.00005766363],"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":[0.0001617134,0.00007277616,0.001284895,0.00004418342,0.00003643626,0.00001446195,0.00002255124,0.9825153,0.001792117,0.0003889652,0.00006816219,0.0135984],"study_design_scores_gemma":[0.00001152941,0.0001792749,0.0008508843,0.000006844001,0.00001352761,0.000009583111,0.00001087082,0.995552,0.003003453,0.0002576926,0.00009583007,0.000008434562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6450501,0.0007125251,0.3458203,0.0001943907,0.00002969306,0.0001491559,0.0002293188,0.001003245,0.006811225],"genre_scores_gemma":[0.9767686,0.0001485717,0.02230956,0.00001149821,0.000007747515,0.00006136724,0.00009800716,0.00004306727,0.0005514467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005279463,"threshold_uncertainty_score":0.01364911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07706716251948073,"score_gpt":0.3913114586073669,"score_spread":0.3142442960878862,"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."}}