{"id":"W4409793602","doi":"10.61091/jcmcc127a-228","title":"Research on the application of BP algorithm incorporating GWO in distributed energy storage scheduling optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Optimization algorithm; Scheduling (production processes); Energy storage; Distributed computing; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001673857,0.0001615942,0.0003996897,0.0003087133,0.0002175124,0.00007631115,0.0003131282,0.0001174561,0.000001041726],"category_scores_gemma":[0.000201942,0.0001345076,0.00006457178,0.001093069,0.0000845487,0.0001048511,0.0001033929,0.0005533771,2.471895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448726,"about_ca_system_score_gemma":0.00007492816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231918,"about_ca_topic_score_gemma":5.846859e-7,"domain_scores_codex":[0.9982374,0.00009561758,0.0009010401,0.0001348957,0.0004210373,0.0002100484],"domain_scores_gemma":[0.9977186,0.001104595,0.0004015209,0.0002199003,0.0005011265,0.00005425157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001000005,0.0001639931,0.00001338191,0.00006683331,0.00002813105,0.000001389934,0.0001022642,0.2992037,0.0002597354,0.6938718,0.00003054655,0.006248232],"study_design_scores_gemma":[0.0007699678,0.00007765133,0.00001802914,0.0002826503,0.00001202584,0.000002439753,0.0004141527,0.708239,0.001029511,0.2889346,0.0001356421,0.00008425546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05669407,0.0001943633,0.9406338,0.0001279174,0.001669139,0.0002311148,0.000004597547,0.00002781998,0.0004171606],"genre_scores_gemma":[0.9696261,0.0000436863,0.02997506,0.00000763847,0.0003105098,0.00001099078,0.00000437829,0.00002048119,0.000001196223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.912932,"threshold_uncertainty_score":0.5485059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472238303460382,"score_gpt":0.2861993443446904,"score_spread":0.2714769613100865,"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."}}