{"id":"W2083391871","doi":"10.1109/epec.2013.6802925","title":"A game theoretic approach for plug-in hybrid electrical vehicle load management in the smart grid","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Smart grid; Grid; Scalability; Electricity; Plug-in; Emulation; Regret; Mathematical optimization; Simulation; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070151,0.001113621,0.001015307,0.0006388638,0.0007537733,0.001415836,0.001691674,0.00120633,0.003742978],"category_scores_gemma":[0.001661725,0.0004729412,0.0008762363,0.000730715,0.001336173,0.001594255,0.00122314,0.001549524,0.0004493921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953701,"about_ca_system_score_gemma":0.001689608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004555033,"about_ca_topic_score_gemma":0.004689853,"domain_scores_codex":[0.9992582,0.0003851191,0.00002444769,0.0001019427,0.0001438309,0.00008650431],"domain_scores_gemma":[0.999469,0.0003407464,0.00005476449,0.00002437541,0.00006373339,0.0000473453],"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":[0.00003472614,0.00005555199,0.0002084483,0.00006052685,0.00003730492,0.0001188655,0.00008132058,0.8485554,0.0008042649,0.1355538,0.001526174,0.01296355],"study_design_scores_gemma":[0.0000102044,0.00001886068,0.00003427267,0.000004367924,0.000006200516,0.00002569363,0.00001775565,0.9686068,0.0001470975,0.03021855,0.0009037495,0.000006415468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004443823,0.00009193154,0.9897094,0.0002420069,0.00003504434,0.00007728134,0.00003045641,0.0000555825,0.00531442],"genre_scores_gemma":[0.712917,0.0005825195,0.2727982,0.0002922608,0.0001340247,0.0004576624,0.0001115731,0.00007717877,0.01262963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004555033,"threshold_uncertainty_score":0.01417518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00464479260155836,"score_gpt":0.1838792728639208,"score_spread":0.1792344802623624,"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."}}