{"id":"W3129121450","doi":"10.1109/epec48502.2020.9320112","title":"Fuzzy Based Energy Management System for a Micro-grid with a V2G Parking Lot","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"State of charge; Fuzzy logic; Vehicle-to-grid; Grid; Energy management system; Energy management; Computer science; Battery (electricity); Electric vehicle; Automotive engineering; Energy storage; Controller (irrigation); MATLAB; Charge controller; Fuzzy control system; Power (physics); Energy (signal processing); Engineering; Operating system","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":[0.000247417,0.0004059318,0.0005032605,0.0003760042,0.0008233206,0.0009522031,0.0009760318,0.0005454581,0.004562405],"category_scores_gemma":[0.0002150792,0.0001781926,0.0003434531,0.00027797,0.0002435285,0.0004675385,0.0004458646,0.0003257568,0.0007236121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005618246,"about_ca_system_score_gemma":0.0007058178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708852,"about_ca_topic_score_gemma":0.009967803,"domain_scores_codex":[0.9998227,0.00002468299,0.00001768921,0.00004841142,0.00005787252,0.00002865971],"domain_scores_gemma":[0.9998659,0.00002390441,0.00001909608,0.00001234181,0.00006326132,0.00001543616],"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":[0.001185693,0.0005922485,0.005717972,0.0005560159,0.0001909357,0.00120535,0.0003384055,0.6504545,0.05423337,0.01122094,0.01091532,0.2633893],"study_design_scores_gemma":[0.00007963234,0.0002165352,0.0009846486,0.00001635823,0.0000456182,0.0001618285,0.00006801831,0.9858993,0.006978688,0.001542329,0.003981481,0.00002557188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1976532,0.0006971622,0.7659497,0.000667329,0.0003554797,0.0004462789,0.0004526204,0.006010195,0.02776805],"genre_scores_gemma":[0.9772204,0.00007118797,0.01847967,0.00007863035,0.00001805212,0.00009349079,0.00008880312,0.0000129369,0.00393676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00708852,"threshold_uncertainty_score":0.01526278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005798610937457176,"score_gpt":0.1666019838741439,"score_spread":0.1608033729366867,"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."}}