{"id":"W4364360668","doi":"10.1109/infoteh57020.2023.10094146","title":"Efficient Modeling of Adjustable Speed Drive Systems for Offline and Real-Time EMT Simulators","year":2023,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interfacing; Computer science; Transient (computer programming); Real-time simulation; MATLAB; Induction motor; Converters; Voltage; Controller (irrigation); Inverter; DSPACE; Emtp; Adjustable-speed drive; Control engineering; Electronic engineering; Control theory (sociology); Simulation; Engineering; Electric power system; Control (management); Computer hardware; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002360876,0.0007268674,0.0005214136,0.0003805212,0.000339143,0.0007477889,0.001179139,0.0006307623,0.005708335],"category_scores_gemma":[0.0006336778,0.0003359145,0.0006345366,0.00036438,0.0002025587,0.0008766869,0.0004539287,0.001020869,0.001872188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192725,"about_ca_system_score_gemma":0.0006579618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003062729,"about_ca_topic_score_gemma":0.00339477,"domain_scores_codex":[0.9997728,0.00005237212,0.0000141247,0.00002270696,0.0001180383,0.00001996715],"domain_scores_gemma":[0.9998016,0.00006657573,0.00002291872,0.00004118651,0.00005820677,0.000009609197],"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":[0.00004230274,0.00004469884,0.000492715,0.000131254,0.00002022649,0.000134002,0.00007043483,0.9450192,0.008022093,0.0147734,0.001923831,0.02932582],"study_design_scores_gemma":[0.000006557236,0.0000129933,0.0000845151,0.000006860373,0.000003616583,0.00002615408,0.000007415781,0.9935369,0.00152792,0.001098766,0.003684793,0.000003502429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008387815,0.0001139007,0.9812319,0.00006038855,0.00003677325,0.00007114925,0.0002637895,0.001352802,0.008481573],"genre_scores_gemma":[0.6211366,0.0007093037,0.3593231,0.00008217555,0.00004041901,0.0006653842,0.001425127,0.0005376267,0.01608023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005708335,"threshold_uncertainty_score":0.01909631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136043378934116,"score_gpt":0.2305311781821341,"score_spread":0.2169268402887225,"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."}}