{"id":"W4206166636","doi":"10.1109/ias48185.2021.9677306","title":"Employing Battery Storage Systems to Improve Power System Survivability","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Industry Applications Society Annual Meeting (IAS)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Survivability; Reliability engineering; Electric power system; Power (physics); Computer science; Battery (electricity); Boundary (topology); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006698527,0.0003197583,0.000395694,0.00004180363,0.0003671205,0.0002130371,0.0003022102,0.0006229951,0.0000589697],"category_scores_gemma":[0.00005659481,0.0003722468,0.000218388,0.0008568191,0.00003999314,0.0002240475,0.00009448025,0.0008485128,0.0001361646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004614225,"about_ca_system_score_gemma":0.0001121809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005022694,"about_ca_topic_score_gemma":0.000005436437,"domain_scores_codex":[0.9978058,0.0001217511,0.0006283987,0.0006172035,0.0003093377,0.0005175113],"domain_scores_gemma":[0.9981825,0.0001847516,0.0001125537,0.0007796813,0.0004982743,0.0002422096],"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":[0.000005107639,0.00009697536,0.0007821344,0.0005745308,0.0002279697,0.000007805552,0.001890406,0.9438971,0.03385813,0.000154538,0.01637007,0.00213528],"study_design_scores_gemma":[0.002284927,0.0001230621,0.002265013,0.001524651,0.0004714256,0.0001620802,0.09347769,0.6652477,0.03331266,0.00003300156,0.1972643,0.003833537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5001076,0.003962375,0.4744121,0.001364938,0.004905005,0.003564596,0.001809463,0.002544841,0.007329022],"genre_scores_gemma":[0.9937199,0.00004279695,0.003312643,0.0001647837,0.001080436,0.0009824375,0.00008585215,0.00009263257,0.0005185438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4936123,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006741840309496797,"score_gpt":0.2113716572931306,"score_spread":0.2046298169836338,"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."}}