{"id":"W4392389627","doi":"10.1109/isgt59692.2024.10454181","title":"Mitigating False Data Injection Attacks on Inverter Set Points in a 100% Inverter-Based Microgrid","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Solar Energy Technologies Office; Manitoba Hydro; Office of Energy Efficiency and Renewable Energy; National Science Foundation","keywords":"Microgrid; Inverter; Computer science; Set (abstract data type); Electronic engineering; Electrical engineering; Engineering; Voltage; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002285581,0.0001711436,0.0001416383,0.0002357807,0.00004003208,0.0001141575,0.0002849824,0.0001165274,0.0001128989],"category_scores_gemma":[0.0000375338,0.0001532145,0.00003858622,0.0004092071,0.00003840935,0.0003232053,0.00007566083,0.0003715905,0.000317149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008452993,"about_ca_system_score_gemma":0.00003415722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001608523,"about_ca_topic_score_gemma":0.000793127,"domain_scores_codex":[0.9989218,0.00003856509,0.0002403801,0.0003615759,0.0001648923,0.0002728285],"domain_scores_gemma":[0.9993618,0.0001104261,0.00001020685,0.0004364864,0.00001048653,0.0000706495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001547296,0.0005311377,0.04924218,0.004342965,0.0003712785,0.0009958555,0.01187487,0.1053812,0.09685425,0.0009997656,0.5552496,0.1740022],"study_design_scores_gemma":[0.000261091,0.00005583623,0.0009832648,0.0004278227,0.000008020409,0.00001705121,0.0001563996,0.9768625,0.01166611,0.00009372296,0.00922593,0.0002421968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937019,0.0004245404,0.001499747,0.0004719406,0.001388185,0.0001962843,0.00006838942,0.0006242312,0.001624806],"genre_scores_gemma":[0.998446,0.0000299302,0.0003674984,0.000754709,0.0001676585,0.00001163158,0.0001303777,0.00003150135,0.00006069567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8714813,"threshold_uncertainty_score":0.6247906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655985085889096,"score_gpt":0.278427481610491,"score_spread":0.2418676307516001,"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."}}