{"id":"W3096410406","doi":"10.1109/ecce44975.2020.9235394","title":"Proportional Integral Finite Set Model Predictive Control for a Transformer-Less Compact Multilevel Active Power Filter","year":2020,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Control theory (sociology); Capacitor; Harmonics; Transformer; Total harmonic distortion; Inductance; Model predictive control; AC power; Voltage; Filter capacitor; Computer science; Topology (electrical circuits); Electronic engineering; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004219424,0.0001978943,0.0002523097,0.00004045068,0.00004753872,0.00002885364,0.00009539978,0.00008759971,0.0001430715],"category_scores_gemma":[0.00002805312,0.0001622749,0.0001410791,0.00005948841,0.00002592612,0.000251365,0.000003276978,0.0001526874,0.000009896437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692008,"about_ca_system_score_gemma":0.00004137164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005140886,"about_ca_topic_score_gemma":0.0000060271,"domain_scores_codex":[0.999193,0.00001014739,0.0002424357,0.0001939371,0.0001228286,0.0002376955],"domain_scores_gemma":[0.9995843,0.00007123738,0.0000314489,0.00006784547,0.0001190691,0.0001260939],"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":[0.0005923261,0.00002627539,0.0000372812,0.00003853001,0.0001940464,6.880377e-7,0.001211661,0.9920111,0.001566439,0.0001974776,0.002340426,0.001783719],"study_design_scores_gemma":[0.002839809,0.0001284009,0.0002318521,0.0000113304,0.00005286942,9.966437e-7,0.0001903317,0.9938636,0.001885964,0.0001497916,0.0004469453,0.0001980804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002614988,0.00005226056,0.99175,0.0006623788,0.00007567953,0.0009164984,0.001940899,0.0002687424,0.001718575],"genre_scores_gemma":[0.99525,0.000009262987,0.003612469,0.0006195337,0.0000756446,0.0001119631,0.0002263408,0.00003524128,0.00005955985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.992635,"threshold_uncertainty_score":0.6617379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313811096511494,"score_gpt":0.223667998117154,"score_spread":0.2005298871520391,"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."}}