{"id":"W4312219063","doi":"10.1109/tpel.2022.3221349","title":"A Partial Power Processing Structure Embedding Renewable Energy Source and Energy Storage Element for Islanded DC Microgrid","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Microgrid; Energy storage; Electrical engineering; Photovoltaic system; Voltage; Computer science; Renewable energy; Engineering; Electronic engineering; Power (physics); Physics","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":[0.00006223385,0.0003457339,0.0002933404,0.0002356093,0.0003316117,0.0003600538,0.0005405093,0.00022241,0.002635549],"category_scores_gemma":[0.00009779687,0.0001332136,0.0002388075,0.0003295467,0.0001821242,0.0006747941,0.0003319473,0.0002738125,0.0005203263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001683881,"about_ca_system_score_gemma":0.0001727118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005257624,"about_ca_topic_score_gemma":0.0005918688,"domain_scores_codex":[0.9999346,0.00000969932,0.000005795259,0.00001923886,0.00002409387,0.000006529656],"domain_scores_gemma":[0.9999508,0.000003616309,0.000007286324,0.00001108473,0.0000224108,0.000004844803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004609263,0.0001429912,0.00173356,0.0009590226,0.000137141,0.001157556,0.0002542851,0.09732988,0.4586889,0.05237996,0.007566291,0.3791896],"study_design_scores_gemma":[0.00008773874,0.001543891,0.00245356,0.00007305261,0.0001567574,0.002174859,0.000128964,0.7817382,0.1486062,0.01383321,0.04912066,0.00008280898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1563029,0.001354777,0.8093085,0.0002823659,0.0002184399,0.0001308816,0.0002266225,0.001905548,0.03026999],"genre_scores_gemma":[0.9406592,0.0004437758,0.05326089,0.00007196728,0.00004231819,0.00005990916,0.0001561408,0.00002712635,0.005278778],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002635549,"threshold_uncertainty_score":0.008816779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003007558281746915,"score_gpt":0.1883166441282615,"score_spread":0.1853090858465146,"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."}}