{"id":"W3098061287","doi":"10.1109/tpwrd.2020.3037716","title":"Decentralized Model-Based Predictive Control for DER Units Integration in AC Microgrids Subject to Operational and Safety Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microgrid; Model predictive control; Interfacing; Voltage; Control theory (sociology); Engineering; Control engineering; Control (management); AC power; Computer science; Reliability engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008455059,0.0001912057,0.0002099026,0.0001367569,0.00008570639,0.00004747405,0.00006781093,0.0001070761,0.00006105403],"category_scores_gemma":[0.00001291312,0.0002004841,0.00005759268,0.0002517703,0.00004071182,0.0001833912,5.256175e-7,0.0001630451,0.000005604968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007154,"about_ca_system_score_gemma":0.00008900063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005980112,"about_ca_topic_score_gemma":0.00004479638,"domain_scores_codex":[0.9991139,0.0000365491,0.0002858359,0.0002429474,0.0001045616,0.0002162759],"domain_scores_gemma":[0.9994815,0.0001122029,0.00001939658,0.00007970555,0.0001651174,0.0001420572],"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":[0.001026163,0.00004040811,0.0000136027,0.00001415323,0.00005670878,0.000001225908,0.0005822133,0.9748912,0.01457404,0.00001832043,0.0001773305,0.00860463],"study_design_scores_gemma":[0.003928269,0.0001688529,0.00009629231,0.000041346,0.00005394307,0.000001582729,0.00007551019,0.9812106,0.01404152,0.0000071499,0.0001803051,0.0001946312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02702623,0.0001587902,0.9701942,0.0005508486,0.0001859145,0.0009447696,0.0007722391,0.0001306338,0.00003636829],"genre_scores_gemma":[0.9931024,0.000112668,0.005128815,0.001405129,0.00001611902,0.0001526845,0.0000474918,0.00002943004,0.000005210928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9660762,"threshold_uncertainty_score":0.8175502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001089814311461,"score_gpt":0.2019451707636054,"score_spread":0.1919342726204908,"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."}}