{"id":"W4409202789","doi":"10.1016/j.apenergy.2025.125780","title":"A new distributed charge approach for the electric vehicle parking lots considering coordination between DSO and EV operators","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ericsson (Canada)","funders":"Türkiye Bilimler Akademisi; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Electric vehicle; Charge (physics); Parking lot; Automotive engineering; Engineering; Computer science; Physics; Civil engineering; Power (physics)","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":[0.0007495968,0.0008833417,0.001458499,0.0006272565,0.0008074059,0.001824808,0.002557792,0.001304833,0.006511561],"category_scores_gemma":[0.000941342,0.0004690675,0.0009814828,0.0008705934,0.0005660831,0.001521824,0.00133397,0.0007727683,0.0005818218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022373,"about_ca_system_score_gemma":0.001454781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005804365,"about_ca_topic_score_gemma":0.008644407,"domain_scores_codex":[0.9994366,0.0001238954,0.00002567744,0.0001386725,0.000182751,0.00009234376],"domain_scores_gemma":[0.9995964,0.0001172364,0.00002962269,0.00003611484,0.0001761249,0.00004444133],"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":[0.0001606223,0.0001495725,0.0006689372,0.000199696,0.00009306481,0.0002867451,0.0001198973,0.8884781,0.003850743,0.02344703,0.002923183,0.0796224],"study_design_scores_gemma":[0.00001352606,0.00002913636,0.00006143568,0.000003713121,0.00001503343,0.00002834916,0.00002072095,0.9964241,0.0001908443,0.002534074,0.000673305,0.00000570482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01060608,0.0003321057,0.9827276,0.000159678,0.000182261,0.0001074786,0.00004480764,0.0002081053,0.005631926],"genre_scores_gemma":[0.8776625,0.000322948,0.1113755,0.0001478533,0.0001972459,0.0001735407,0.00008586978,0.00008447548,0.009950004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006511561,"threshold_uncertainty_score":0.02178335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00610810371046563,"score_gpt":0.1929362229257724,"score_spread":0.1868281192153068,"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."}}