{"id":"W4244815690","doi":"10.1109/pesgm46819.2021.9638159","title":"Flexible Time-Stepping Dynamic Emulation of AC/DC Grid for Faster-Than-SCADA Applications","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Emulation; SCADA; Transient (computer programming); Computer science; Field-programmable gate array; Embedded system; Grid; Simulation; Engineering; Electrical engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004109497,0.0003763134,0.0005635521,0.00007746883,0.000245057,0.0001257266,0.0002389428,0.000290526,0.0001566299],"category_scores_gemma":[0.00003961022,0.0004252427,0.0006026715,0.00054799,0.00004288772,0.000207882,0.00005280018,0.0001683729,0.00005717643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975193,"about_ca_system_score_gemma":0.0000888181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008989168,"about_ca_topic_score_gemma":0.0001209133,"domain_scores_codex":[0.9975808,0.0001130665,0.0008508797,0.0005313241,0.0003898171,0.0005341566],"domain_scores_gemma":[0.9983818,0.0002145134,0.0002462093,0.0006184086,0.0003898298,0.0001492388],"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":[0.000008469394,0.00003694379,0.0000519391,0.0001106158,0.0002392772,3.175747e-7,0.000391216,0.6186945,0.3741808,0.0001974033,0.00393156,0.002156975],"study_design_scores_gemma":[0.001248777,0.00002469627,0.0001101024,0.0001799511,0.0001125746,0.000008621914,0.0002511817,0.7507687,0.03430321,0.000200051,0.2120984,0.0006936865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1411948,0.002663699,0.8417723,0.0002939289,0.002021461,0.0006880244,0.000202754,0.0005516773,0.01061135],"genre_scores_gemma":[0.9500675,0.0001941144,0.02868815,0.0002211322,0.001253978,0.0004011285,0.001146392,0.0001908804,0.01783674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8130842,"threshold_uncertainty_score":0.9998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057341473578518,"score_gpt":0.242147352887989,"score_spread":0.2315739381522038,"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."}}