{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003108928,0.0005431367,0.0004120013,0.0002742572,0.000236833,0.0006814675,0.0007329418,0.0006569771,0.00191018],"category_scores_gemma":[0.000573947,0.0002299709,0.000480681,0.0002359695,0.0004587271,0.0008445853,0.0004393529,0.0006358773,0.000230095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279528,"about_ca_system_score_gemma":0.0003434432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005780063,"about_ca_topic_score_gemma":0.005116018,"domain_scores_codex":[0.9998641,0.00004984569,0.000005104153,0.00002907711,0.00003680873,0.00001499067],"domain_scores_gemma":[0.9998347,0.0000673066,0.00002872107,0.0000173621,0.00004287163,0.000009062308],"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":[0.00001394033,0.000009054103,0.00018339,0.0000109501,0.000005400845,0.00003638546,0.00001476809,0.9910365,0.001058592,0.002675896,0.0001331352,0.004821954],"study_design_scores_gemma":[6.294651e-7,0.000002149395,0.00001779819,5.279348e-7,6.421337e-7,0.000002329558,0.000001345663,0.9995055,0.00006730954,0.0003348937,0.00006618618,6.447023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0306459,0.00008525031,0.9627505,0.00009605492,0.00001882899,0.00002301571,0.00006201275,0.0001833598,0.006135072],"genre_scores_gemma":[0.9789373,0.00008877761,0.01635213,0.00002682285,0.00000908612,0.00004216299,0.00005890752,0.00003072256,0.004454079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005780063,"threshold_uncertainty_score":0.01149285,"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."}}