{"id":"W4387251006","doi":"10.23919/epe23ecceeurope58414.2023.10264582","title":"Single Equivalent PV Inverter Model for PV Farms with Substantial Parameter Disparities Using WD agg Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Photovoltaic system; Maximum power point tracking; Control theory (sociology); Transient (computer programming); Irradiance; Inverter; Maximum power principle; Steady state (chemistry); Power (physics); Stability (learning theory); Computer science; Engineering; Mathematics; Physics; Artificial intelligence; Electrical engineering; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023056,0.0002777781,0.00035629,0.0002174736,0.0001433269,0.0001453322,0.0002402758,0.0001590404,0.00004469931],"category_scores_gemma":[0.0000420675,0.0002185561,0.0001186778,0.0003854597,0.00009935627,0.0002964508,0.00009532244,0.00008300182,0.00001028838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389293,"about_ca_system_score_gemma":0.00005445386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009677081,"about_ca_topic_score_gemma":0.0002393053,"domain_scores_codex":[0.9982274,0.00005164116,0.00039831,0.0004568405,0.0003531088,0.0005127079],"domain_scores_gemma":[0.9990978,0.00009908922,0.0001207482,0.0004411373,0.0001471141,0.00009407633],"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":[0.0002617042,0.0002692005,0.00115341,0.0003387677,0.0002220284,0.000006584673,0.001334015,0.943333,0.02902933,0.01508542,0.007875154,0.001091397],"study_design_scores_gemma":[0.0005318719,0.00007902982,0.00001128932,0.00004790087,0.00004174699,0.000009466969,0.0002093824,0.9556543,0.04069963,0.002015832,0.0003558442,0.0003436552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05920468,0.00001535353,0.9328861,0.00005043771,0.00009830006,0.0006931475,0.00003311968,0.00124474,0.005774167],"genre_scores_gemma":[0.8603194,0.00001009732,0.1341958,0.000283146,0.00006466113,0.0003439058,0.0001221835,0.0001053759,0.004555385],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8011148,"threshold_uncertainty_score":0.891246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109857269615341,"score_gpt":0.2838514161550068,"score_spread":0.1739941465396658,"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."}}