{"id":"W4292573084","doi":"10.3390/sym14081735","title":"Review of Model Predictive Control of Distributed Energy Resources in Microgrids","year":2022,"lang":"en","type":"article","venue":"Symmetry","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Shandong Province; Shenzhen Fundamental Research Program; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Distributed generation; Renewable energy; Model predictive control; Computer science; Photovoltaic system; Reliability (semiconductor); Grid; Distributed computing; Wind power; Energy storage; Reliability engineering; Control (management); Engineering; Electrical engineering; Power (physics)","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":[0.0004156984,0.000844166,0.0009657614,0.0006255961,0.0002183278,0.0009419404,0.0007614281,0.0007859954,0.002933833],"category_scores_gemma":[0.0008017306,0.0003482804,0.0005422141,0.00171074,0.0003107088,0.001112457,0.0005128077,0.0009870093,0.001247705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270758,"about_ca_system_score_gemma":0.000627053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469082,"about_ca_topic_score_gemma":0.0007660763,"domain_scores_codex":[0.9997247,0.00005462346,0.00003350287,0.00006319353,0.0001041454,0.00001984029],"domain_scores_gemma":[0.9996166,0.0001921841,0.00003275214,0.00002456,0.0001192338,0.00001456735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000832981,0.00008108762,0.0003334483,0.01136085,0.0001868379,0.0002319643,0.00009959927,0.06184239,0.002927747,0.04922492,0.03730519,0.8363227],"study_design_scores_gemma":[0.00001932915,0.0002685457,0.001127452,0.002867102,0.0001909789,0.000546378,0.00009025556,0.06153406,0.002150545,0.032964,0.8981613,0.00008010817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001358365,0.9109834,0.06938209,0.0009915401,0.001711939,0.00002657489,0.0000966459,0.0001563744,0.01529306],"genre_scores_gemma":[0.04248804,0.9342816,0.01353228,0.0005718596,0.002851058,0.00004571092,0.0002617684,0.00005930521,0.005908493],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002933833,"threshold_uncertainty_score":0.00981462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003803738615951842,"score_gpt":0.1831732906734524,"score_spread":0.1793695520575005,"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."}}