{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000061309,0.0004063066,0.0004246964,0.0001223219,0.0001343357,0.0001332271,0.000264878,0.0001432411,0.00002406057],"category_scores_gemma":[0.000004007934,0.0003555894,0.00009135362,0.0006474932,0.00002100223,0.0001353758,0.00002304563,0.0001900942,0.000002628315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009215096,"about_ca_system_score_gemma":0.00007695695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005121369,"about_ca_topic_score_gemma":0.00002592108,"domain_scores_codex":[0.9982561,0.00002899529,0.0003134595,0.0005080613,0.0002297304,0.0006635992],"domain_scores_gemma":[0.9993114,0.00004848464,0.00007058518,0.0002174133,0.0000820326,0.000270119],"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":[0.002261955,0.0002173788,0.0007458829,0.00370997,0.003331728,0.0008745117,0.001425081,0.07578305,0.2682316,0.1523899,0.1093399,0.381689],"study_design_scores_gemma":[0.004549735,0.001847222,0.0005245775,0.0003293018,0.0003866842,0.0001382423,0.0002720618,0.6469263,0.10545,0.0006376248,0.2369031,0.002035072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05041569,0.004862443,0.9078855,0.0009037976,0.001001704,0.000470335,0.0000704476,0.00150638,0.0328837],"genre_scores_gemma":[0.9962082,0.0003560811,0.002027075,0.000782426,0.0002509431,0.0001168248,0.0000298982,0.00007468305,0.0001538769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9457925,"threshold_uncertainty_score":0.9998896,"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."}}