{"id":"W2406543934","doi":"10.1109/tpwrd.2016.2565512","title":"Real-Time Simulation-Based Multisolver Decoupling Technique for Complex Power-Electronics Circuits","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada); École de Technologie Supérieure","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Research Chairs","keywords":"Decoupling (probability); Discretization; Power electronics; Computer science; Electronic circuit; Electronics; Ode; Control theory (sociology); Electronic engineering; Software; Simulation software; State variable; Stability (learning theory); Electric power system; Control engineering; Power (physics); Engineering; Mathematics; Electrical engineering; Voltage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798834,0.0005572421,0.000422498,0.000302434,0.0002889118,0.0003277361,0.0006537507,0.00042311,0.002195548],"category_scores_gemma":[0.0004794388,0.0003071176,0.0005190023,0.000209377,0.0003484247,0.0005680675,0.0005384491,0.0007416483,0.0004242868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394662,"about_ca_system_score_gemma":0.0005412017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000740783,"about_ca_topic_score_gemma":0.001063787,"domain_scores_codex":[0.9998443,0.00003460315,0.000007963152,0.00001679845,0.00008486635,0.00001139233],"domain_scores_gemma":[0.9998156,0.0000605538,0.00002794083,0.00005125571,0.00003501932,0.000009607546],"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":[0.00007737328,0.00007133163,0.0005367923,0.0002037688,0.00005281882,0.0001712847,0.000205775,0.7922984,0.09892257,0.03293192,0.001023512,0.07350445],"study_design_scores_gemma":[0.00001178856,0.00003561026,0.00006376181,0.000007902618,0.000006845893,0.00006332561,0.000008100608,0.9830502,0.01029822,0.001917444,0.004530306,0.000006565442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006085628,0.00006766773,0.9913219,0.00003899972,0.00002180311,0.00002299595,0.00001279336,0.0003615303,0.002066768],"genre_scores_gemma":[0.3728885,0.0003291896,0.6215631,0.00008039128,0.00001969893,0.0001577655,0.0001272352,0.0001993506,0.004634831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002195548,"threshold_uncertainty_score":0.007344782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517249144176625,"score_gpt":0.2422886921312297,"score_spread":0.2271162006894634,"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."}}