{"id":"W2786951539","doi":"10.1109/pesgm.2017.8274725","title":"Linear-quadratic-Gaussian control of line active-power flow","year":2017,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Linear-quadratic regulator; AC power; Kalman filter; Electric power transmission; Electric power system; Controller (irrigation); Computer science; Optimal control; Control engineering; Engineering; Mathematical optimization; Power (physics); Mathematics; Control (management); Voltage; 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":[0.001276886,0.0007191971,0.0005780796,0.0001929922,0.000275037,0.0008275999,0.000662496,0.0004770528,0.001110393],"category_scores_gemma":[0.002667008,0.0002329243,0.0003404058,0.0003562242,0.0008177384,0.0005640631,0.0006302918,0.0008629843,0.0002693815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799977,"about_ca_system_score_gemma":0.0009132122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006146332,"about_ca_topic_score_gemma":0.005793643,"domain_scores_codex":[0.9992311,0.0002712733,0.00002775013,0.0001677356,0.0002191126,0.00008311818],"domain_scores_gemma":[0.999158,0.0004521755,0.0001143809,0.00004729284,0.0002069375,0.00002127987],"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":[0.0001037383,0.00007418232,0.000319826,0.000103627,0.00002762804,0.00004177008,0.00008090371,0.9491658,0.005723814,0.01336149,0.0009726966,0.03002446],"study_design_scores_gemma":[0.00001193259,0.00004037482,0.00006884054,0.000002085599,0.000003804468,0.000003398842,0.000003236577,0.9975479,0.000510304,0.00154438,0.0002605955,0.000003133293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009038282,0.00009219112,0.9883593,0.0001431666,0.00004022948,0.00002537126,0.000021445,0.0002567721,0.002023217],"genre_scores_gemma":[0.9664608,0.0001477096,0.03092927,0.00006764171,0.00004786079,0.00008378501,0.0000470046,0.00003094053,0.002185142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006146332,"threshold_uncertainty_score":0.01222116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121827489605758,"score_gpt":0.24139773393707,"score_spread":0.2301794590410124,"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."}}