{"id":"W3184585453","doi":"10.1109/apec42165.2021.9487276","title":"Optimization of PV Array-to-Inverter Power Ratio in Grid-Connected Systems to Maximize System Profit","year":2021,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cost of electricity by source; Profit (economics); Photovoltaic system; Grid; Electricity; Inverter; Computer science; Stand-alone power system; Electricity price; Environmental economics; Grid parity; Grid-connected photovoltaic power system; Electricity generation; Mathematical optimization; Automotive engineering; Renewable energy; Maximum power point tracking; Power (physics); Economics; Distributed generation; Microeconomics; Engineering; Electrical engineering; Mathematics; Photovoltaics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004326291,0.0002929321,0.0006779319,0.0004972686,0.0000474052,0.00009968107,0.0002943235,0.0002266634,0.0005267867],"category_scores_gemma":[0.0003012102,0.0002854092,0.00008926984,0.001598413,0.0000152253,0.0002329094,0.00009404606,0.00009828425,0.0001149321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078215,"about_ca_system_score_gemma":0.0001572517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982725,"about_ca_topic_score_gemma":0.000423671,"domain_scores_codex":[0.9970689,0.0003649728,0.001140008,0.0005897456,0.0004681534,0.0003682009],"domain_scores_gemma":[0.9978521,0.0000947575,0.0002253121,0.000791523,0.0008429107,0.0001933907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007965855,0.00007317505,0.001348962,0.0003122979,0.00006584887,0.0000292781,0.0009541473,0.9068068,0.07139155,0.01326317,0.005636839,0.00003831772],"study_design_scores_gemma":[0.00147726,0.0001781997,0.0004607798,0.001271576,0.00003578955,0.00007992172,0.004364416,0.3377515,0.6511404,0.00001731516,0.002404884,0.0008180305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01455797,0.00006530474,0.930186,0.0002778099,0.001387002,0.002176682,0.00003751849,0.0009537446,0.05035793],"genre_scores_gemma":[0.9431758,0.000005251196,0.05227961,0.0004104195,0.0001001398,0.000688742,0.0001053985,0.00008660409,0.003148025],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9286178,"threshold_uncertainty_score":0.9999598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125608944941235,"score_gpt":0.2264177509757179,"score_spread":0.2151616615263056,"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."}}