{"id":"W2070952307","doi":"10.1109/tpwrd.2007.905856","title":"An Optimization-Enabled Electromagnetic Transient Simulation-Based Methodology for HVDC Controller Design","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electrovaya (Canada); University of Manitoba","funders":"","keywords":"Transient (computer programming); Controller (irrigation); Control theory (sociology); Nonlinear system; Measure (data warehouse); Inverter; Computer science; Set (abstract data type); Engineering; Control engineering; Voltage; Electronic engineering; Control (management)","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":[0.0006160772,0.0006767739,0.0004259228,0.0004589893,0.0003364864,0.0005444979,0.000745067,0.0003796252,0.002683504],"category_scores_gemma":[0.001114732,0.0003685782,0.0005004053,0.0003030043,0.000440901,0.0003281601,0.0004556741,0.0007290022,0.0004339501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000445264,"about_ca_system_score_gemma":0.0009501663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002049331,"about_ca_topic_score_gemma":0.001917426,"domain_scores_codex":[0.9997284,0.00007823836,0.00001316601,0.00002631531,0.0001362977,0.0000176495],"domain_scores_gemma":[0.9997416,0.0001143092,0.00003710891,0.00003097878,0.0000659244,0.00001009869],"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":[0.00002287031,0.00003584948,0.0002184967,0.00009361252,0.00002791694,0.00005694545,0.00005380511,0.9146686,0.006965402,0.02829375,0.0005946672,0.04896797],"study_design_scores_gemma":[0.00001155389,0.00002396831,0.00005278888,0.00001113612,0.000006354086,0.00001980488,0.000005397329,0.9914688,0.001930495,0.003303638,0.00316115,0.000004992856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001157436,0.00001951479,0.9965972,0.00001822507,0.00000711026,0.00004016092,0.00001262797,0.0002000422,0.001947641],"genre_scores_gemma":[0.1742458,0.0001607497,0.8223272,0.00004573719,0.00001831447,0.0005468533,0.00008806007,0.0001541052,0.002413256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002683504,"threshold_uncertainty_score":0.008977175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881144964830351,"score_gpt":0.2707373090259296,"score_spread":0.2419258593776261,"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."}}