{"id":"W2028227024","doi":"10.1109/tpwrs.2013.2247640","title":"Damping Inter-Area Oscillations Based on a Model Predictive Control (MPC) HVDC Supplementary Controller","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Model predictive control; Electric power system; Controller (irrigation); Optimal projection equations; Engineering; Optimal control; Control system; SIGNAL (programming language); Control engineering; Stability (learning theory); Power (physics); Control (management); Computer science; Mathematics; Mathematical optimization","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":[0.0002983123,0.0004589842,0.0004044244,0.0002529043,0.0003016815,0.0006815204,0.000665163,0.0003469693,0.001866977],"category_scores_gemma":[0.0006440108,0.0001390911,0.0001614759,0.000228265,0.0003395204,0.0003166068,0.0003437606,0.0007321715,0.0003025915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760926,"about_ca_system_score_gemma":0.0004881381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352832,"about_ca_topic_score_gemma":0.002961129,"domain_scores_codex":[0.9998277,0.00003295582,0.000007540457,0.00002759584,0.00008836052,0.00001581688],"domain_scores_gemma":[0.9997247,0.00008832286,0.00004634427,0.00003434364,0.000090297,0.00001593179],"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":[0.0002545982,0.0002033878,0.0008942896,0.0002512821,0.00003858778,0.0002792676,0.0001345162,0.7047496,0.03505554,0.01211591,0.004536184,0.2414869],"study_design_scores_gemma":[0.00002233364,0.00009470031,0.0001690394,0.000006945056,0.000008406676,0.0000282543,0.00000591689,0.9954833,0.002336603,0.0005186252,0.001322238,0.000003730511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05293823,0.0004001494,0.9324837,0.0002195337,0.000141454,0.00008654118,0.00005116161,0.00204591,0.01163326],"genre_scores_gemma":[0.9584242,0.0001375919,0.03874853,0.00005620459,0.00005194413,0.00005140545,0.0000436081,0.00003067037,0.002455699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002352832,"threshold_uncertainty_score":0.006245613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009783709632917153,"score_gpt":0.2025924181524791,"score_spread":0.1928087085195619,"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."}}