{"id":"W4205210610","doi":"10.1109/tpwrs.2021.3134818","title":"Estimation of Inertia for Synchronous and Non-Synchronous Generators Based on Ambient Measurements","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertia; Permanent magnet synchronous generator; Electric power system; Synchronous motor; Computer science; Automatic Generation Control; Control theory (sociology); Control engineering; Engineering; Power (physics); Electrical engineering; Physics; Voltage","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001874459,0.0002029904,0.0003273048,0.0001602195,0.00009080674,0.0000665363,0.00005950037,0.0001105763,0.00002418344],"category_scores_gemma":[0.000005633703,0.0002042108,0.0001098424,0.0001674019,0.00001650189,0.00009869044,3.624384e-7,0.00008276596,0.00001491464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593353,"about_ca_system_score_gemma":0.00005685668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004181876,"about_ca_topic_score_gemma":0.00001858156,"domain_scores_codex":[0.998755,0.00005866895,0.0004628534,0.0002387072,0.0002890753,0.000195699],"domain_scores_gemma":[0.9993111,0.00008091173,0.00007320292,0.0003058719,0.0001338897,0.00009506341],"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":[0.00003406342,0.00009669309,0.00002127046,0.0002452802,0.0001015559,0.00000152852,0.0001232214,0.979393,0.01759342,0.000007488197,0.0001236568,0.002258801],"study_design_scores_gemma":[0.001403697,0.0001834287,0.0001342612,0.0001922891,0.00004477689,0.000005035145,0.00006297915,0.9417391,0.05583934,0.000001211197,0.0002108598,0.0001829653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07262013,0.0001892501,0.9237682,0.00001749293,0.001926197,0.0006774729,0.00005439069,0.0001141818,0.0006327209],"genre_scores_gemma":[0.9993138,0.000004530922,0.000296615,0.00002549536,0.00001925537,0.0002136843,0.00001044463,0.00004450104,0.00007170582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9266936,"threshold_uncertainty_score":0.8327475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213786283802874,"score_gpt":0.2217341845055469,"score_spread":0.2095963216675182,"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."}}