{"id":"W3009066440","doi":"10.1109/globecom38437.2019.9014160","title":"Reinforcement Learning for Smart Charging of Electric Buses in Smart Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Smart grid; Computer science; Reinforcement; Grid; Electrical engineering; Engineering; Artificial intelligence; Structural engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100941,0.0001035689,0.0001755584,0.0001579207,0.00001678541,0.00000972925,0.00008319475,0.00005737924,0.0001990959],"category_scores_gemma":[0.00001553677,0.00009528263,0.00004800145,0.0002853588,0.000003106899,0.00009002308,0.00001152631,0.0001564219,0.00001411803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005490375,"about_ca_system_score_gemma":0.0000133406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003852664,"about_ca_topic_score_gemma":0.000007380482,"domain_scores_codex":[0.9992963,0.000005896546,0.0002280237,0.0001044445,0.0000913263,0.0002739884],"domain_scores_gemma":[0.9997733,0.00004448785,0.00003067044,0.00009946279,0.00002621759,0.00002591519],"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":[0.00003685499,0.00001255893,0.09404818,0.0004355736,0.00006223322,8.616764e-7,0.0002628624,0.7085391,0.1723196,0.00288177,0.00222708,0.01917334],"study_design_scores_gemma":[0.0009415955,0.0002690458,0.01726036,0.0000496408,0.000009702871,0.000003273097,0.00006492856,0.8177269,0.1458964,0.0002128917,0.01729508,0.0002701917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780647,0.000247628,0.007877335,0.00001904745,0.0001711839,0.0003440318,4.584647e-7,0.0001152736,0.01316034],"genre_scores_gemma":[0.9987195,0.00007658594,0.0003789861,0.00003553426,0.00004549626,0.00001413293,0.000009869913,0.00002193189,0.0006980374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091877,"threshold_uncertainty_score":0.3885513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004853149142132736,"score_gpt":0.1912094260233843,"score_spread":0.1863562768812516,"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."}}