{"id":"W3026052079","doi":"10.7488/era/377","title":"Synchrophasor-based predictive control considering optimal phasor measurement unit placements methods","year":2020,"lang":"en","type":"dissertation","venue":"ERA","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Petroleum Technology Development Fund; Australian Government","keywords":"Phasor; Phasor measurement unit; Model predictive control; Control (management); Control engineering; Control theory (sociology); Units of measurement; Computer science; Unit (ring theory); Engineering; Mathematics; Electric power system; Artificial intelligence; Power (physics); Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000590019,0.0004631426,0.0006489773,0.0001341792,0.0001051068,0.00008789744,0.0002030348,0.0002664388,0.0006183688],"category_scores_gemma":[0.0002903875,0.0005048658,0.0001665265,0.0002068332,0.00002271629,0.0001027848,0.000009556788,0.0004813151,0.00004600819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00034099,"about_ca_system_score_gemma":0.0002650768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007071066,"about_ca_topic_score_gemma":0.0000127242,"domain_scores_codex":[0.9977625,0.0002734066,0.0006121296,0.0004292876,0.0005859466,0.0003367086],"domain_scores_gemma":[0.9988765,0.0001294529,0.0001466699,0.0003261237,0.000312997,0.0002082393],"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":[0.000666736,0.0001226994,0.0001902775,0.001662585,0.001253574,0.00002740685,0.002153529,0.9839392,0.005588819,0.00005243066,0.002699089,0.001643699],"study_design_scores_gemma":[0.003246785,0.0001508811,0.0004733376,0.0003391765,0.0002738187,0.000001620781,0.0006140572,0.9678359,0.01080139,0.000005957104,0.01559924,0.0006578063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002208485,0.001182331,0.9715115,0.00004831154,0.002694605,0.001236912,0.0001539139,0.0007743827,0.02018953],"genre_scores_gemma":[0.9634826,0.00001684517,0.0350254,0.0001003944,0.00007394667,0.0003241284,0.0005852127,0.0001381741,0.0002532509],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9612741,"threshold_uncertainty_score":0.9997403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999996878928304,"score_gpt":0.295529275845794,"score_spread":0.265529307056511,"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."}}