{"id":"W4313562557","doi":"10.1109/epec56903.2022.10000114","title":"UKF-based State Estimation for Smart Grids Under False Data Injection Attacks","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"SCADA; Smart grid; Kalman filter; Computer science; Residual; Electric power system; Data acquisition; State (computer science); Real-time computing; Node (physics); Data integrity; Supervisory control; Power (physics); Engineering; Computer security; Control (management); Artificial intelligence; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002300834,0.00008526657,0.00007905369,0.00007302294,0.0001997146,0.00003112423,0.0002222781,0.00002426598,0.0001367467],"category_scores_gemma":[0.00002151633,0.00008640275,0.00002512003,0.000173205,0.00001680354,0.0001992321,0.00007945803,0.0001212599,0.00001392688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007588984,"about_ca_system_score_gemma":0.00003120285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005172153,"about_ca_topic_score_gemma":0.0001321337,"domain_scores_codex":[0.9993349,0.00002068472,0.0001404246,0.0001815064,0.0001570129,0.0001654886],"domain_scores_gemma":[0.9995103,0.00008087261,0.00001708547,0.0003369791,0.00001747413,0.00003730604],"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":[0.00001591962,0.00002226819,0.0001773289,0.00004020373,0.0000107437,6.222058e-7,0.00006788244,0.981495,0.0003494,0.0002096848,0.01559045,0.002020507],"study_design_scores_gemma":[0.0003113733,0.00006722,0.0007869793,0.000003566296,0.000009172194,0.000004005229,0.000102774,0.9779708,0.001236068,0.0004922167,0.01888756,0.0001282777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1602641,0.00008161778,0.8365138,0.0002812299,0.001361155,0.0003430558,0.0002001072,0.0004393794,0.0005155065],"genre_scores_gemma":[0.9957426,0.000005868522,0.003067322,0.0001993548,0.00004953865,0.00007974239,0.0005597453,0.00002115738,0.0002747103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8354784,"threshold_uncertainty_score":0.3523402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119312242349704,"score_gpt":0.2681596914135741,"score_spread":0.2369665689900771,"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."}}