{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008431005,0.0004948499,0.0005836347,0.0002582446,0.0004242312,0.001037481,0.001309901,0.000774929,0.0031254],"category_scores_gemma":[0.00151794,0.0002794485,0.0004315653,0.0004343723,0.0004985083,0.001467512,0.0008109366,0.0007634967,0.0005143037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009334796,"about_ca_system_score_gemma":0.0008117008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722468,"about_ca_topic_score_gemma":0.001995201,"domain_scores_codex":[0.9993494,0.0001545311,0.00003357126,0.0001995557,0.0001433111,0.0001195798],"domain_scores_gemma":[0.9993777,0.000233535,0.0001063219,0.00007765544,0.0001361448,0.00006864862],"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":[0.0003896753,0.0002151368,0.001479672,0.0002610026,0.00004879,0.0005198221,0.0001692221,0.7988268,0.01920839,0.0980282,0.004601362,0.07625186],"study_design_scores_gemma":[0.0000257813,0.00007057856,0.0001902369,0.000005080901,0.000008808714,0.00005290297,0.00003785441,0.9807402,0.001771589,0.01469259,0.002393331,0.00001108607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07528601,0.0005685376,0.9097471,0.0008622857,0.0002097088,0.0001302755,0.0001610591,0.0006069739,0.01242812],"genre_scores_gemma":[0.9615881,0.0002145571,0.03349345,0.0001386621,0.00005584777,0.00007168808,0.00007404981,0.00003947591,0.004324219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0031254,"threshold_uncertainty_score":0.01045549,"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."}}