{"id":"W4415168572","doi":"10.1049/icp.2025.1684","title":"Integrated modeling and forecasting of EVs charging profiles based on real data","year":2025,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Population; Context (archaeology); Load profile; Service (business); Energy (signal processing); Electric vehicle","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007433801,0.0006146389,0.0004560891,0.0006833594,0.0002870201,0.0008909128,0.0009011307,0.0006416298,0.0006449014],"category_scores_gemma":[0.001853651,0.0003078631,0.0003648942,0.0007838857,0.0002710895,0.0007286369,0.0003106309,0.0007535093,0.0001984173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751069,"about_ca_system_score_gemma":0.001078329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1768019,"about_ca_topic_score_gemma":0.1426747,"domain_scores_codex":[0.9998119,0.00003631051,0.00001416248,0.00005255384,0.00004859106,0.00003644537],"domain_scores_gemma":[0.9994392,0.000228558,0.00006228853,0.00005542878,0.0001832828,0.00003130875],"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":[0.00002826821,0.0000163891,0.002813427,0.000008871258,0.00001389991,0.00002805756,0.00001037523,0.9928278,0.0002573601,0.0002243469,0.0002013995,0.003569763],"study_design_scores_gemma":[9.900311e-7,0.000003614266,0.0007972954,7.840811e-7,0.000001680594,0.000002404389,0.000003970009,0.9990094,0.00005811236,0.00007236849,0.00004763741,0.000001753015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733408,0.0003353951,0.1162997,0.0004771099,0.0001001603,0.000102062,0.003235129,0.0009811005,0.005128575],"genre_scores_gemma":[0.99212,0.0001032227,0.006073936,0.00001444001,0.000008388277,0.0000229168,0.0008580131,0.00001429013,0.0007848722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768019,"threshold_uncertainty_score":0.3515455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537773160280291,"score_gpt":0.2393182412145503,"score_spread":0.2039405096117474,"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."}}