{"id":"W4313434117","doi":"10.1109/tpwrs.2022.3220056","title":"Data-Driven Extension of “Measurement-Based Fast Coordinated Voltage Control for Transmission Grids”","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Electric Power Research Institute","keywords":"Sensitivity (control systems); Voltage; Controller (irrigation); Control theory (sociology); Computer science; Transmission (telecommunications); Grid; Extension (predicate logic); AC power; Electric power system; Voltage controller; Power transmission; Least-squares function approximation; Electric power transmission; Electronic engineering; Power (physics); Control (management); Engineering; Voltage regulator; Electrical engineering; Mathematics; Voltage droop; Telecommunications","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":[0.0008352896,0.0009601223,0.0006206228,0.000410876,0.000267151,0.0009594677,0.001117384,0.0006936517,0.002814234],"category_scores_gemma":[0.002491524,0.0004016784,0.0005378482,0.0005352811,0.0004960737,0.001056099,0.0008982791,0.001408542,0.0009173148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446959,"about_ca_system_score_gemma":0.0007276828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296638,"about_ca_topic_score_gemma":0.001762734,"domain_scores_codex":[0.9989127,0.0002306116,0.00005224708,0.0003556391,0.0003791106,0.00006967171],"domain_scores_gemma":[0.9989355,0.000316046,0.00008845098,0.0003121121,0.0003214081,0.00002648748],"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":[0.0004236781,0.0001863527,0.001140533,0.0004264769,0.0001705219,0.0003559627,0.0002403824,0.43831,0.03039486,0.1130786,0.01363442,0.4016382],"study_design_scores_gemma":[0.00002119327,0.0001144537,0.0002304832,0.00001554328,0.00001636329,0.00006462142,0.000005113596,0.9696904,0.01044569,0.009672469,0.009704564,0.00001900172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003193207,0.0001872162,0.9924544,0.0001439776,0.0002044288,0.00003716085,0.0001051501,0.0008321954,0.0028422],"genre_scores_gemma":[0.7233117,0.0005196577,0.2686017,0.0006255041,0.0004013388,0.0002603358,0.0005902008,0.0003066713,0.005382836],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002814234,"threshold_uncertainty_score":0.009414554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086402065867571,"score_gpt":0.2350465666966868,"score_spread":0.2041825460380111,"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."}}