{"id":"W2889174346","doi":"10.1109/ccece.2018.8447640","title":"Evaluating the Impact of Phasor Measurement Units on the Accuracy of State Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Phasor; Estimator; Units of measurement; Computer science; Multilayer perceptron; Grid; Perceptron; Set (abstract data type); Algorithm; State (computer science); Process (computing); Voltage; Electric power system; Electronic engineering; Power (physics); Artificial neural network; Artificial intelligence; Engineering; Mathematics; Electrical engineering; Statistics","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":[0.003203066,0.0005359412,0.0005873727,0.0005801901,0.0002532476,0.0006109841,0.0004088824,0.0006915251,0.0005649935],"category_scores_gemma":[0.02905226,0.0001875072,0.0002748556,0.0005923017,0.0003890544,0.0008031551,0.0005499447,0.0004008695,0.00008778248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983676,"about_ca_system_score_gemma":0.0003929027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006401473,"about_ca_topic_score_gemma":0.004882928,"domain_scores_codex":[0.9976351,0.0009808721,0.0001982101,0.000215683,0.0007875893,0.0001824713],"domain_scores_gemma":[0.9702823,0.02454581,0.001158298,0.001485826,0.002313916,0.0002137945],"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":[0.002379952,0.0001547561,0.04238932,0.0002466546,0.0001868514,0.0002206993,0.0001509614,0.7891499,0.01293182,0.0008244783,0.0003652559,0.1509993],"study_design_scores_gemma":[0.00002314098,0.0006977983,0.02213979,0.00001908766,0.00007495563,0.00009772467,0.00007791149,0.9608098,0.01555211,0.0002304449,0.0002563867,0.00002104119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279916,0.0009409495,0.06827236,0.0001352855,0.00004416368,0.00002955214,0.0001185853,0.0004114237,0.00205604],"genre_scores_gemma":[0.9931616,0.00006996272,0.006532421,0.000006612092,0.000005893527,0.000007155107,0.00005862475,0.000008486242,0.0001493439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006401473,"threshold_uncertainty_score":0.01693964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1647201027659841,"score_gpt":0.3777115388439289,"score_spread":0.2129914360779448,"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."}}