{"id":"W4310450723","doi":"10.1109/ecce50734.2022.9948113","title":"Generalized Predictive Control for Voltage Source Inverter in Islanded Microgrid","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Energy Conversion Congress and Exposition (ECCE)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Microgrid; Robustness (evolution); Control theory (sociology); Computer science; Benchmark (surveying); Voltage; MIMO; Voltage source; Inverter; Engineering; Control (management); Artificial intelligence; Telecommunications","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":[0.0001501166,0.0002127468,0.0002932431,0.0002145344,0.0002634966,0.00005573659,0.0001301751,0.00008829514,0.0005246347],"category_scores_gemma":[0.000004864126,0.0002325203,0.0001022197,0.0001661707,0.00003845206,0.0001740283,0.00004491534,0.0001556108,0.00000282831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196296,"about_ca_system_score_gemma":0.0000190449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009425119,"about_ca_topic_score_gemma":0.00002527947,"domain_scores_codex":[0.9988202,0.00009222876,0.0003043865,0.0003136492,0.0001751165,0.0002944369],"domain_scores_gemma":[0.9995507,0.00008278181,0.00007362436,0.0001461721,0.00005505987,0.00009167878],"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":[0.002095154,0.0001770734,0.001403684,0.0001288184,0.0003674533,0.00004159108,0.001345881,0.7566496,0.1477367,0.0005111002,0.05917241,0.03037059],"study_design_scores_gemma":[0.007085133,0.000189917,0.00007981245,0.00001639097,0.00005495977,0.00001328699,0.0003081187,0.9263275,0.008473031,0.00007961756,0.05706725,0.0003049383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4422199,0.009859012,0.5359224,0.0006773141,0.007522836,0.001684278,0.0008871837,0.0007297893,0.0004973056],"genre_scores_gemma":[0.9967039,0.0007205005,0.0001001638,0.0008274477,0.000169578,0.0004443861,0.0003915015,0.00004352793,0.0005989444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5544841,"threshold_uncertainty_score":0.9481904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003763435253840342,"score_gpt":0.1729445923791518,"score_spread":0.1691811571253115,"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."}}