{"id":"W2323585208","doi":"10.1109/jsyst.2014.2337353","title":"Networked Control and Power Management of AC/DC Hybrid Microgrids","year":2014,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microgrid; Voltage droop; Controller (irrigation); Converters; Power control; Control theory (sociology); AC power; Computer science; Power (physics); Power management; Distributed generation; Decentralised system; Electronic engineering; Control engineering; Engineering; Voltage source; Voltage; Control (management); Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002320359,0.0004180594,0.0002574535,0.0001766296,0.0003032213,0.000701953,0.000436899,0.0002300038,0.001336097],"category_scores_gemma":[0.0003852717,0.0001083034,0.0001657645,0.0001917876,0.0004932252,0.0004154314,0.000526714,0.0003116594,0.0001226393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816381,"about_ca_system_score_gemma":0.00027696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003829963,"about_ca_topic_score_gemma":0.003369976,"domain_scores_codex":[0.9998604,0.0000327817,0.000008047457,0.00004049424,0.00004154786,0.00001658422],"domain_scores_gemma":[0.9998573,0.00004859873,0.00003514752,0.00001340908,0.00003536554,0.00001007881],"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":[0.00009407604,0.00005354099,0.000610643,0.0001113948,0.00003059837,0.0001312264,0.0001108673,0.931652,0.0104863,0.01338379,0.0008439878,0.04249157],"study_design_scores_gemma":[0.000008554493,0.00005637137,0.0002142616,0.000004550642,0.000007050774,0.0000152855,0.00002399595,0.9951492,0.001179706,0.002613998,0.0007232958,0.000003790169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1905226,0.001172767,0.7754828,0.0003255343,0.0001585558,0.00008365541,0.00007592833,0.0004573295,0.03172087],"genre_scores_gemma":[0.9917527,0.0001672246,0.006345273,0.00001770892,0.00002680055,0.00002697157,0.00001488171,0.000008665588,0.001639697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003829963,"threshold_uncertainty_score":0.007615328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002729435321593384,"score_gpt":0.1653981588157495,"score_spread":0.1626687234941561,"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."}}