{"id":"W4413960710","doi":"10.11591/ijpeds.v16.i3.pp1897-1913","title":"Modelling and optimization of hybrid renewable energy system using SBLA-MAT algorithm","year":2025,"lang":"en","type":"article","venue":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Renewable energy; Optimization algorithm; Computer science; Algorithm; Mathematical optimization; Engineering; Mathematics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003602854,0.0006590774,0.0009045057,0.0005046327,0.0003736134,0.001110699,0.000629004,0.0008217561,0.002951859],"category_scores_gemma":[0.0006511376,0.0003665808,0.0009511694,0.0005311795,0.0003381367,0.0005266276,0.0005012861,0.0005860396,0.0004698437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004245828,"about_ca_system_score_gemma":0.0007562675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008733773,"about_ca_topic_score_gemma":0.006924547,"domain_scores_codex":[0.9998349,0.00005240705,0.000009250817,0.00003000517,0.00005185758,0.00002149461],"domain_scores_gemma":[0.9997655,0.0001214857,0.00003940662,0.000009120358,0.00005507754,0.000009457515],"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":[0.00001033192,0.000006411724,0.0001629085,0.00002668168,0.00001021958,0.00002207547,0.000008894432,0.99463,0.0004004493,0.00103078,0.0001555593,0.003535662],"study_design_scores_gemma":[0.000001382293,0.000005029005,0.00002537208,0.000001834165,0.000001140823,0.000002531594,0.000001662951,0.9995999,0.00004866046,0.000193142,0.0001184885,9.530417e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03569565,0.0006399324,0.9482566,0.0002181373,0.00005445378,0.00007402389,0.0001690946,0.0005356584,0.01435641],"genre_scores_gemma":[0.841493,0.0005634829,0.1473151,0.00009972144,0.00004293795,0.0004616258,0.0003747482,0.000111101,0.009538201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008733773,"threshold_uncertainty_score":0.01736587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004293442922724298,"score_gpt":0.2013223342514587,"score_spread":0.1970288913287344,"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."}}