{"id":"W2950180713","doi":"10.1109/icps.2019.8733355","title":"Estimating Frequency Changes Due to Smart Grid Functions","year":2019,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Smart grid; Computer science; Grid; Power (physics); Electric power system; Nonlinear system; Set (abstract data type); Demand response; Point (geometry); Frequency grid; AC power; Control theory (sociology); Reliability engineering; Engineering; Mathematics; Electricity; 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":[0.0003151177,0.0004869463,0.0004294092,0.0008185671,0.0001362099,0.000482518,0.0002973109,0.0003514532,0.0006618706],"category_scores_gemma":[0.002517245,0.0002080227,0.0002150333,0.0005447118,0.0002072753,0.000835874,0.000351054,0.0004939507,0.0002572558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004043446,"about_ca_system_score_gemma":0.0001824792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003121087,"about_ca_topic_score_gemma":0.002883468,"domain_scores_codex":[0.9996383,0.00005679689,0.00001521491,0.0000834307,0.0001743391,0.00003185032],"domain_scores_gemma":[0.9992602,0.0003264365,0.000175621,0.0001055777,0.0001121745,0.00001993951],"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":[0.0003492842,0.00007792407,0.0317183,0.0001116112,0.00007005368,0.0002715147,0.0001610163,0.7467789,0.03256026,0.003425471,0.001043821,0.1834318],"study_design_scores_gemma":[0.000004987939,0.0000371701,0.008638016,0.000005207591,0.00001079141,0.00008488934,0.00003094786,0.9832473,0.006132643,0.0009027314,0.0008902034,0.00001512817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.340041,0.0001573747,0.6554184,0.00006784009,0.00004308155,0.00004193377,0.0004052202,0.0006473857,0.003177791],"genre_scores_gemma":[0.9683216,0.0001105974,0.03047507,0.00001488082,0.00002016715,0.00001760688,0.0002169497,0.00004455644,0.0007785064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003121087,"threshold_uncertainty_score":0.006205797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009543323647347116,"score_gpt":0.2056328496428111,"score_spread":0.196089525995464,"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."}}