{"id":"W4382752137","doi":"10.3390/su151310394","title":"A Droop-Controlled Interlink Converter for a Dual DC Bus Nanogrid with Decentralized Control","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Jordan","keywords":"Voltage droop; Ćuk converter; Dual (grammatical number); Engineering; Power (physics); Boost converter; Reliability (semiconductor); Power electronics; MATLAB; Converters; Electronic engineering; Computer science; Voltage; Electrical engineering; Voltage regulator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004854907,0.0002709876,0.0005672278,0.000129539,0.0001038538,0.00008168856,0.0001359058,0.0001197274,0.00006117317],"category_scores_gemma":[0.0003706838,0.0002150012,0.0002038535,0.0003400102,0.00008031188,0.0001637975,0.00002079866,0.0001338425,0.00001493987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003584994,"about_ca_system_score_gemma":0.0001644579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002115897,"about_ca_topic_score_gemma":0.00004583818,"domain_scores_codex":[0.9983674,0.00007182474,0.0004055073,0.0003258728,0.0001534168,0.0006759744],"domain_scores_gemma":[0.9986111,0.0002698523,0.00005486662,0.0003333431,0.0006028552,0.0001279981],"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":[0.05187505,0.000955186,0.04609179,0.006281727,0.004878185,0.0003732986,0.009769965,0.6371747,0.005540339,0.005641622,0.02673484,0.2046833],"study_design_scores_gemma":[0.04630245,0.0003576906,0.004862944,0.00002837728,0.0002242376,0.000009724898,0.0006300841,0.93292,0.000392785,0.002153743,0.0115622,0.0005557981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7159044,0.001140627,0.264263,0.003787793,0.00105678,0.01036412,0.0001570222,0.003134788,0.0001915041],"genre_scores_gemma":[0.998003,0.00004470524,0.0003320927,0.0001198546,0.0001040421,0.001063728,0.000061131,0.00005248951,0.0002189303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2957453,"threshold_uncertainty_score":0.8767496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003748249129158774,"score_gpt":0.207992367495543,"score_spread":0.2042441183663843,"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."}}