{"id":"W4405218799","doi":"10.1049/gtd2.13344","title":"Dynamic equivalent modelling for active distributed network considering adjustable loads charging characteristics","year":2024,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Canada School of Energy and Environment","keywords":"Reinforcement learning; Computer science; Electric vehicle; Boundary (topology); Renewable energy; Power (physics); Control theory (sociology); Engineering; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002203767,0.0002756623,0.0002528721,0.00005588298,0.0002938298,0.0002473452,0.00007993432,0.0001754846,0.00007735789],"category_scores_gemma":[0.00001096235,0.0002845348,0.000145296,0.0002734265,0.0000194075,0.0003681241,0.000009068758,0.000194376,0.00001074188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258498,"about_ca_system_score_gemma":0.00005999127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003363554,"about_ca_topic_score_gemma":0.000002364485,"domain_scores_codex":[0.998516,0.00003343978,0.0004704373,0.0003539473,0.000178589,0.0004476515],"domain_scores_gemma":[0.9994857,0.00005686484,0.00004811189,0.0001476188,0.0001358414,0.0001258708],"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":[0.00003790382,0.00001581305,0.000002313955,0.0002148661,0.00005915256,0.000002797532,0.00009580258,0.91378,0.03272831,0.000549667,0.002510984,0.05000239],"study_design_scores_gemma":[0.0003913702,0.00002861331,0.00001956838,0.0001871612,0.0001030183,0.000005680751,0.00001725783,0.9412661,0.01109526,0.0002154731,0.04637247,0.0002979779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008666734,0.004512929,0.9825081,0.0002679086,0.001092545,0.0005639224,0.001708062,0.0006626479,0.0000171705],"genre_scores_gemma":[0.9694636,0.002184591,0.005898192,0.00002291275,0.0005227453,0.0001609283,0.02163483,0.00006218188,0.0000499709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9766099,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611175878004418,"score_gpt":0.225626283485544,"score_spread":0.2095145247054998,"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."}}