{"id":"W2246825951","doi":"10.1109/rtss.2015.10","title":"Distributed Deadline and Renewable Aware Electric Vehicle Demand Response in the Smart Grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Demand response; Smart grid; Electric vehicle; Computer science; Renewable energy; Flexibility (engineering); Grid; Inefficiency; Hierarchy; Peak demand; Environmental economics; Electricity; Power (physics); Engineering; Economics; Electrical engineering; Microeconomics; Market economy","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":[0.0007533193,0.0001121975,0.0001070372,0.00009458968,0.00003100459,0.00004346428,0.0001412957,0.00004158288,0.00001061136],"category_scores_gemma":[0.00008272923,0.00008312189,0.00001490131,0.0004666252,0.00001190001,0.00008818469,0.00004249968,0.00008877546,0.00001576951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008280301,"about_ca_system_score_gemma":0.00001422886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002234383,"about_ca_topic_score_gemma":0.0003497226,"domain_scores_codex":[0.9992319,0.00008920049,0.0001517832,0.0001316793,0.000150062,0.000245315],"domain_scores_gemma":[0.9995462,0.0001167055,0.00001048631,0.0002378646,0.00002056202,0.00006816645],"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":[0.0002567116,0.00004399479,0.01254461,0.0000244948,0.00003332575,0.00006458814,0.0002432202,0.8523282,0.001365285,0.0001820839,0.1326096,0.0003039397],"study_design_scores_gemma":[0.001631982,0.000179631,0.1250944,0.00001730851,0.00002605911,0.00002233525,0.0004269349,0.7425671,0.003780593,0.0003280239,0.1255787,0.0003470007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829735,0.0004166092,0.01287074,0.000869704,0.0001918121,0.000153594,0.000005343926,0.0002147971,0.002303929],"genre_scores_gemma":[0.9993048,0.00004239168,0.0001211774,0.0001447988,0.00007422188,0.00002919231,0.00002056203,0.0000161684,0.0002466652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1125498,"threshold_uncertainty_score":0.3389612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359524713359747,"score_gpt":0.2070502994690882,"score_spread":0.1934550523354908,"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."}}