{"id":"W2160308455","doi":"10.1109/isie.2011.5984404","title":"Per-phase vector (dq) controlled three-phase grid-forming inverter for stand-alone systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Three-phase; Diesel generator; Inverter; Control theory (sociology); Electrical impedance; Power (physics); Generator (circuit theory); Grid; Computer science; Dynamic demand; Engineering; Electrical engineering; Automotive engineering; Diesel fuel; Voltage; Control (management); Mathematics; Physics","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":[0.0002086713,0.0002427954,0.0004885615,0.0001096982,0.0000789599,0.00007168089,0.0001373325,0.0001137418,0.0003712887],"category_scores_gemma":[0.00002490186,0.0001943283,0.0001538319,0.00008329938,0.00001893746,0.0002612168,0.00001435961,0.00008833865,0.00005115878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006466157,"about_ca_system_score_gemma":0.00002381835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006353482,"about_ca_topic_score_gemma":0.00005570635,"domain_scores_codex":[0.9988391,0.00001516414,0.0004421288,0.0002030358,0.0001217828,0.0003787978],"domain_scores_gemma":[0.9994065,0.00005840517,0.00005972158,0.0002333385,0.0001100477,0.0001319645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03389965,0.006076947,0.001328512,0.006714858,0.009211892,0.0002216177,0.01456372,0.1492063,0.3017945,0.02388006,0.138898,0.3142039],"study_design_scores_gemma":[0.03162193,0.0002783671,0.00001011712,0.00003558942,0.0001137379,0.000007549452,0.00009454063,0.9600625,0.002041025,0.0000337657,0.005401848,0.0002990117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02830608,0.004636798,0.9583555,0.00003323524,0.001781328,0.002322359,0.0001333244,0.0007417719,0.003689577],"genre_scores_gemma":[0.9947938,0.0001163163,0.003445476,0.00007113925,0.0004901564,0.0004380679,0.00006546908,0.00007726757,0.0005022643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9664878,"threshold_uncertainty_score":0.7924479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465627471557306,"score_gpt":0.2346745512030514,"score_spread":0.2100182764874783,"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."}}