{"id":"W4409791031","doi":"10.61091/jcmcc127a-436","title":"Study on distributed source-load aggregation strategy and capacity optimization considering power supply security constraints in distribution networks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic Research Institute","keywords":"Distribution (mathematics); Power (physics); Computer science; Mathematical optimization; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009629723,0.001016499,0.001167432,0.0005024917,0.000453698,0.001250629,0.0009080859,0.0008192694,0.002399221],"category_scores_gemma":[0.001605729,0.0006118177,0.0006804158,0.000846104,0.0005006116,0.001636679,0.00080127,0.0008336004,0.0001344274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248816,"about_ca_system_score_gemma":0.00126638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205289,"about_ca_topic_score_gemma":0.005430113,"domain_scores_codex":[0.9995719,0.0001519254,0.00001515754,0.00008610044,0.00008343581,0.00009157866],"domain_scores_gemma":[0.9994898,0.00029727,0.00005676636,0.00001861491,0.00009587078,0.00004169267],"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":[0.00001958249,0.00001506538,0.0002611288,0.00004343161,0.00002179707,0.00005360961,0.00002809831,0.9875969,0.0003227688,0.00607431,0.0003862116,0.005177053],"study_design_scores_gemma":[0.000003438251,0.0000127282,0.00007064376,0.000003202303,0.000004976307,0.000006312697,0.00001376412,0.9981608,0.00005522775,0.001531406,0.0001354195,0.000002168537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09109396,0.001663087,0.8898205,0.0007774463,0.00007565993,0.0001072768,0.00009864227,0.0001375412,0.01622584],"genre_scores_gemma":[0.9725022,0.0008278724,0.02231465,0.00008849481,0.00004522917,0.0001121647,0.00006223787,0.00004576768,0.004001383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01205289,"threshold_uncertainty_score":0.02396548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009677542224301177,"score_gpt":0.2248930639622684,"score_spread":0.2152155217379672,"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."}}