{"id":"W4396215101","doi":"10.2316/j.2024.203-0516","title":"TWO-WAY ENERGY MANAGEMENT OF ELECTRIC VEHICLE CHARGING STATION, 1-8.","year":2024,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Electrical engineering; Automotive engineering; Battery (electricity); Energy storage; Diesel generator; Voltage; Maximum power point tracking; State of charge; Grid-connected photovoltaic power system; Trickle charging; Generator (circuit theory); Electric vehicle; Grid; Power (physics); Engineering; Maximum power principle; Computer science; Diesel fuel; Physics","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":[0.0002025883,0.0004917784,0.0002888211,0.0004167358,0.0005571221,0.001337797,0.0009301468,0.0005301686,0.007269805],"category_scores_gemma":[0.0003151871,0.0001675506,0.0002577134,0.0004032793,0.00012564,0.000955915,0.0005875282,0.0003030373,0.001635623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436997,"about_ca_system_score_gemma":0.0004221582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014257,"about_ca_topic_score_gemma":0.002583887,"domain_scores_codex":[0.9997787,0.00003117531,0.00001656749,0.00005821266,0.00005820422,0.00005719833],"domain_scores_gemma":[0.9998754,0.00001669736,0.00001396922,0.00002406007,0.00005322237,0.00001657671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001206963,0.0005581939,0.01382916,0.0004446466,0.0001911517,0.0007111985,0.0002855159,0.1728966,0.09086761,0.02637865,0.01689632,0.675734],"study_design_scores_gemma":[0.0001009378,0.0006844158,0.008144437,0.00004584115,0.0001233001,0.0006807814,0.000297893,0.838446,0.08670747,0.01078398,0.05392748,0.00005742173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3401708,0.001508583,0.5807443,0.0007088612,0.0006972493,0.0004838432,0.001003052,0.005362075,0.06932124],"genre_scores_gemma":[0.9723512,0.0001332867,0.01271455,0.00004216808,0.00003356041,0.00005761549,0.0002411239,0.00003879914,0.01438769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007269805,"threshold_uncertainty_score":0.02431989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003154293170686897,"score_gpt":0.2049512786538787,"score_spread":0.2017969854831918,"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."}}