{"id":"W4392713417","doi":"10.23977/jaip.2024.070112","title":"Optimization of Charging Strategies for New Energy Vehicles Based on Reinforcement Learning Algorithms","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Optimization algorithm; Energy (signal processing); Algorithm; Mathematical optimization; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009124924,0.0008471007,0.001389986,0.0005348432,0.0003688953,0.0007915889,0.0009873779,0.0008931583,0.00188384],"category_scores_gemma":[0.002491529,0.0003970609,0.0005840776,0.0003122227,0.0006997942,0.0005887061,0.0008251267,0.000895108,0.0001994201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008157775,"about_ca_system_score_gemma":0.001117744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007610927,"about_ca_topic_score_gemma":0.004507445,"domain_scores_codex":[0.9995676,0.0001400715,0.00002380638,0.00007920965,0.00008842831,0.0001008741],"domain_scores_gemma":[0.9988815,0.0006447556,0.0001604234,0.0000307508,0.0002061248,0.00007651564],"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":[0.00002901115,0.00003276189,0.0003921247,0.00002276957,0.00001987568,0.00003325872,0.00001783703,0.9880158,0.0003877349,0.001647366,0.000273772,0.009127709],"study_design_scores_gemma":[0.000006444143,0.00001072428,0.00003402439,0.000001552347,0.000002610656,0.000002959573,0.000002993537,0.999413,0.0000437192,0.0004214785,0.00005899174,0.000001456046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06056156,0.0004857474,0.9319533,0.0003190117,0.0001020311,0.0001094431,0.00003085325,0.0003154898,0.006122455],"genre_scores_gemma":[0.9683894,0.0001600462,0.02889201,0.0001238928,0.00003191266,0.0001120322,0.00004248555,0.00002532335,0.002223096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007610927,"threshold_uncertainty_score":0.01513326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341516628577652,"score_gpt":0.2862477507464974,"score_spread":0.2628325844607209,"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."}}