{"id":"W4285178453","doi":"10.1109/tsg.2022.3183027","title":"Model Predictive Control for Grid-Tied Multi-Port System With Integrated PV and Battery Storage","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Maximum power point tracking; Controller (irrigation); Control theory (sociology); Photovoltaic system; Inverter; Engineering; Voltage; Grid; Computer science; Capacitor; Battery (electricity); Power (physics); Electronic engineering; Electrical engineering; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003298114,0.0006097578,0.000685573,0.0001771707,0.0003922825,0.0009143309,0.000873,0.0003717625,0.001211433],"category_scores_gemma":[0.0003785093,0.0002610126,0.0003969477,0.0003555067,0.0003995716,0.0005462913,0.0005814274,0.0008554367,0.0001929448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405282,"about_ca_system_score_gemma":0.0004542157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004971837,"about_ca_topic_score_gemma":0.005418871,"domain_scores_codex":[0.9997918,0.00003873385,0.00001050892,0.00005267376,0.00008074059,0.00002558001],"domain_scores_gemma":[0.9998574,0.00003739202,0.0000348945,0.00002031101,0.00004158333,0.000008346088],"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":[0.0001093019,0.00005995904,0.000604737,0.0001499911,0.00005974597,0.0001876618,0.00008642868,0.9431319,0.007928151,0.006043286,0.001139607,0.04049926],"study_design_scores_gemma":[0.000005569716,0.00002246415,0.00006230695,0.000002358957,0.000005715178,0.000007275676,0.000002986333,0.99878,0.0004532867,0.0003803642,0.0002755485,0.000002183021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05770089,0.0007432475,0.9306625,0.0002610667,0.0001611298,0.00004921656,0.00006609593,0.00103501,0.009320839],"genre_scores_gemma":[0.9851677,0.0002205853,0.0126728,0.00003699677,0.00002500103,0.00004645332,0.0000462825,0.00001701693,0.001767173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004971837,"threshold_uncertainty_score":0.009885788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009107382315189882,"score_gpt":0.1803836034524837,"score_spread":0.1712762211372939,"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."}}