{"id":"W4415968819","doi":"10.1109/iecon58223.2025.11221889","title":"Energy Management of a Hybrid Energy System for Dynamic Load Compensation","year":2025,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Outaouais","funders":"","keywords":"Feed forward; Energy management; Control theory (sociology); Compensation (psychology); Energy (signal processing); Energy management system; Supercapacitor; Voltage; Scheme (mathematics); Control system","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":[0.0001552415,0.0002843002,0.0003025243,0.0001774547,0.000320247,0.0006822057,0.0004679218,0.0002569704,0.002125376],"category_scores_gemma":[0.0001251754,0.0001035113,0.0001536639,0.0001695727,0.0002363279,0.0004704261,0.000523884,0.0002372608,0.0002669985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493999,"about_ca_system_score_gemma":0.0002374618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136239,"about_ca_topic_score_gemma":0.00190993,"domain_scores_codex":[0.9999237,0.00001332574,0.000004719803,0.00001994301,0.00002446413,0.00001384862],"domain_scores_gemma":[0.9999421,0.00001472798,0.000008749836,0.000008545671,0.00001825993,0.000007689039],"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":[0.0004211274,0.000152735,0.001926309,0.0002118713,0.00009222277,0.0005407063,0.0001839013,0.7724102,0.0668698,0.01667576,0.002207726,0.1383077],"study_design_scores_gemma":[0.00002120192,0.0001043615,0.0004052767,0.00000606208,0.00001189865,0.00005229397,0.00003193528,0.9902902,0.004729411,0.002446055,0.001893888,0.000007420449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2596346,0.0004446518,0.7156026,0.0002015944,0.0000807664,0.0001268025,0.0001251504,0.001345797,0.02243804],"genre_scores_gemma":[0.9913515,0.0000349429,0.006653539,0.00001469835,0.000007926216,0.00002889449,0.00002558821,0.000009693573,0.00187319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002125376,"threshold_uncertainty_score":0.007110119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004156834583107833,"score_gpt":0.1944917149466178,"score_spread":0.19033488036351,"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."}}