{"id":"W4400421577","doi":"10.1016/j.procs.2024.06.088","title":"A Comparative Analysis of Time-Based and Hybrid Pricing Models for Electric Vehicle Charging","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Computer science; Revenue; Electric vehicle; Duration (music); Queue; Battery (electricity); Queueing theory; Dynamic pricing; Charging station; Operations research; Automotive engineering; Power (physics); Simulation; Computer network; Finance; Business","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":[0.001995506,0.0008502914,0.0007299234,0.0008569346,0.0003440027,0.001657677,0.001307643,0.001070752,0.002355665],"category_scores_gemma":[0.005595261,0.0002911229,0.00112092,0.0009109605,0.0004508093,0.001758329,0.0007658891,0.0008027607,0.0001926727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874755,"about_ca_system_score_gemma":0.001129257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079215,"about_ca_topic_score_gemma":0.005274782,"domain_scores_codex":[0.9991361,0.0004625949,0.00003509656,0.00006637102,0.000185662,0.0001140853],"domain_scores_gemma":[0.996644,0.00241209,0.0002424959,0.0001608398,0.0004177493,0.0001228121],"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":[0.0001269497,0.0000736798,0.001093204,0.00003541799,0.00003512716,0.00003589963,0.00003858335,0.9776324,0.0002910063,0.01432788,0.0002897134,0.006020157],"study_design_scores_gemma":[0.00001121233,0.00006609716,0.000260391,0.000006185573,0.00001326661,0.00001218626,0.00002651002,0.9966688,0.0001071981,0.002486139,0.0003336848,0.000008250849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7226974,0.0021583,0.2338481,0.0013562,0.0002244217,0.0001955515,0.000584785,0.0003678062,0.0385674],"genre_scores_gemma":[0.9871824,0.0004660822,0.009764492,0.00005727469,0.00002883992,0.00005069545,0.0001234098,0.00002959313,0.002297268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079215,"threshold_uncertainty_score":0.02145869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008420281563794318,"score_gpt":0.2214130169092712,"score_spread":0.2129927353454769,"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."}}