{"id":"W3174410621","doi":"10.1109/syscon47679.2020.9460985","title":"Comparative Investigation of MPPT Controller For Grid Connected Photovoltaic System","year":2020,"lang":"en","type":"article","venue":"2020 IEEE International Systems Conference (SysCon)","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Maximum power point tracking; Photovoltaic system; Maximum power principle; Computer science; Control theory (sociology); Adaptive neuro fuzzy inference system; Particle swarm optimization; Controller (irrigation); Hill climbing; Automotive engineering; Control engineering; Engineering; Fuzzy logic; Fuzzy control system; Electrical engineering; Artificial intelligence; Control (management); Inverter; Voltage; Algorithm","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":[0.0004027157,0.0003953471,0.0004675515,0.0004913025,0.00042701,0.000940731,0.000498022,0.0006383933,0.004024649],"category_scores_gemma":[0.0008630386,0.0001383026,0.0003160766,0.0003476206,0.0001474711,0.0003225638,0.0001833926,0.0003231181,0.0003446072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003656566,"about_ca_system_score_gemma":0.0002603093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319889,"about_ca_topic_score_gemma":0.002858405,"domain_scores_codex":[0.9996625,0.00008629503,0.00002013042,0.00005384223,0.0001467976,0.0000304417],"domain_scores_gemma":[0.9995613,0.0001910737,0.00003586473,0.0000289151,0.0001711231,0.00001179299],"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":[0.002178139,0.0003953843,0.00608324,0.002249508,0.0003727515,0.0007211826,0.0004731126,0.6284786,0.0687536,0.006107329,0.003544629,0.2806425],"study_design_scores_gemma":[0.000110214,0.001138295,0.006406473,0.00004666912,0.0001458977,0.0001796895,0.0001479545,0.9724029,0.0144776,0.0008981461,0.004025605,0.00002047351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.610953,0.00480189,0.2717789,0.0004696574,0.0003075664,0.0004406779,0.0003501742,0.002129549,0.1087685],"genre_scores_gemma":[0.9917685,0.0003285474,0.005824159,0.00002902058,0.00001408699,0.0000461333,0.00005799743,0.00001786148,0.001913673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004024649,"threshold_uncertainty_score":0.0134638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0717684885109754,"score_gpt":0.2873342243342613,"score_spread":0.2155657358232859,"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."}}