{"id":"W1877246957","doi":"10.1109/apec.2015.7104430","title":"Energy management strategy for supercapacitor in autonomous DC microgrid using virtual impedance","year":2015,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microgrid; Supercapacitor; Capacitor; Energy storage; Computer science; Energy management; Power (physics); Electrical engineering; Energy (signal processing); Engineering; Capacitance; Voltage","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":[0.00008968972,0.0001259014,0.0001340839,0.00009264976,0.00001864851,0.00004469231,0.00009103836,0.00005667008,0.00002031951],"category_scores_gemma":[0.00000214839,0.0001270372,0.0000365698,0.0001024791,0.00001104597,0.0001496009,0.00001607105,0.00003937204,0.000004931308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426636,"about_ca_system_score_gemma":0.0000185543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008538795,"about_ca_topic_score_gemma":0.0001230585,"domain_scores_codex":[0.9993386,0.000009180138,0.0001959805,0.0001453117,0.00006191638,0.0002489948],"domain_scores_gemma":[0.9997669,0.00001085394,0.00001217808,0.0001140867,0.00003147788,0.00006443019],"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":[0.0000222433,0.00001882952,0.00004979355,0.00002182076,0.00003118184,0.00000485276,0.00008876769,0.9216074,0.006609726,0.002569453,0.001026661,0.0679493],"study_design_scores_gemma":[0.001059738,0.00004709436,0.00003051738,0.00001017039,0.00001196396,0.000003799375,0.0002058334,0.9793191,0.003745365,0.0001219662,0.01525657,0.0001879176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2627765,0.002817884,0.7273318,0.00004224959,0.001175925,0.0005174939,0.00002663791,0.0004735422,0.004838069],"genre_scores_gemma":[0.9795475,0.0001774528,0.01950174,0.0000669369,0.0002140716,0.00005374239,0.00002364309,0.0000377801,0.0003771536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.716771,"threshold_uncertainty_score":0.5180425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147102259163122,"score_gpt":0.2226879677841699,"score_spread":0.2012169451925387,"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."}}