{"id":"W4390342643","doi":"10.18280/jesa.560619","title":"Optimization of Power Quality in Grid Connected Photovoltaic Systems","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Power quality; Grid; Quality (philosophy); Grid-connected photovoltaic power system; Computer science; Rooftop photovoltaic power station; Power (physics); Electrical engineering; Maximum power point tracking; Environmental science; Engineering; Mathematics; Physics; Voltage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032919,0.0003987006,0.0004049782,0.0002229669,0.0002048439,0.001036097,0.0003552289,0.0003365894,0.001402929],"category_scores_gemma":[0.0007408331,0.0001560937,0.0002160981,0.0005116335,0.0002139324,0.0004617755,0.0002463061,0.0002770231,0.0002243881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647169,"about_ca_system_score_gemma":0.000270465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009851285,"about_ca_topic_score_gemma":0.001081927,"domain_scores_codex":[0.9996786,0.00009257971,0.0000132391,0.0000532805,0.0001340049,0.00002838728],"domain_scores_gemma":[0.9997889,0.00006899769,0.00005345393,0.00001652568,0.0000631317,0.000009030543],"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":[0.0001720802,0.00008685054,0.002352461,0.0002966593,0.00005121886,0.0001368046,0.00007475234,0.8542542,0.03202252,0.006574021,0.0006561249,0.1033223],"study_design_scores_gemma":[0.00004169246,0.0003140776,0.001988431,0.00002452348,0.00003418687,0.00009596608,0.0000298318,0.9836459,0.007037104,0.004286895,0.00249214,0.000009294591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743516,0.001593355,0.808694,0.0001990371,0.00005201361,0.00009964783,0.000101941,0.0004362433,0.01447225],"genre_scores_gemma":[0.9810244,0.0004096299,0.01729096,0.00001738245,0.00001776513,0.00001904123,0.00003762851,0.00003243595,0.001150855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001402929,"threshold_uncertainty_score":0.00469321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394548802432511,"score_gpt":0.2685622213399019,"score_spread":0.2446167333155768,"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."}}