{"id":"W4391565997","doi":"10.1007/s42835-024-01797-9","title":"Smart Vehicle-to-Grid Operation of Power System based on EV User Behavior","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Korea Institute for Advancement of Technology; Ministry of Science, ICT and Future Planning","keywords":"Renewable energy; Electric power system; Grid; Smart grid; Vehicle-to-grid; Demand response; Energy storage; Computer science; Electric vehicle; Electricity; Automotive engineering; Engineering; Reliability engineering; Power (physics); Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172324,0.0001355922,0.0002585619,0.000851437,0.00001772635,0.00002512772,0.0001158034,0.0002029954,0.000007092951],"category_scores_gemma":[0.00004440335,0.0001116858,0.00005655523,0.0008183207,0.00001043434,0.00005920764,0.00000746147,0.0005561422,0.000002761374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107963,"about_ca_system_score_gemma":0.00003033298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.290803e-7,"about_ca_topic_score_gemma":1.297151e-7,"domain_scores_codex":[0.9991992,0.000006211003,0.0003350497,0.0001032448,0.0001507022,0.0002056674],"domain_scores_gemma":[0.999671,0.00005371588,0.00002844218,0.0001030899,0.00006815292,0.00007552764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005254782,0.00007499936,0.001141565,0.0004236342,0.0001879712,0.000292689,0.00004715014,0.3962736,0.5249382,0.016438,0.002626746,0.0575029],"study_design_scores_gemma":[0.0003805861,0.001466563,0.001890399,0.0003162691,0.00007256959,0.0003943511,0.000008710398,0.9052607,0.08262511,0.00002318229,0.007342882,0.000218696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699883,0.00225068,0.02616431,0.0003440982,0.000631699,0.0001331547,0.000004862228,0.0003683624,0.000114491],"genre_scores_gemma":[0.9984354,0.00002937547,0.001393332,0.00001420823,0.00008334625,0.000005948099,5.496407e-7,0.0000294845,0.000008388657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5089871,"threshold_uncertainty_score":0.4554414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002122793177781557,"score_gpt":0.1817418295534609,"score_spread":0.1796190363756794,"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."}}