{"id":"W3046117817","doi":"10.1109/icc40277.2020.9148718","title":"Decentralized Game-Theoretic Approach for D-EVSE based on Renewable Energy in Smart Cities","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Renewable energy; Game theory; Computer science; Photovoltaic system; Decentralised system; Power (physics); Distributed computing; Energy supply; Stability (learning theory); Control (management); Energy (signal processing); Engineering; Electrical engineering; Mathematics","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":[0.0006743711,0.0007111459,0.0009156325,0.0003926204,0.0005688965,0.001162971,0.001234387,0.001029203,0.002283247],"category_scores_gemma":[0.001146963,0.0003890104,0.0007420007,0.0004838029,0.001021538,0.001448618,0.001332061,0.001037303,0.0001955333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124482,"about_ca_system_score_gemma":0.001371382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006241791,"about_ca_topic_score_gemma":0.005849697,"domain_scores_codex":[0.9992827,0.000267782,0.0000243132,0.000174493,0.0001362033,0.0001146809],"domain_scores_gemma":[0.9994941,0.0002292801,0.000097246,0.00003447258,0.00008619833,0.00005884088],"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":[0.00003108864,0.00003511245,0.0003480857,0.00004800283,0.00002974487,0.0001574175,0.00006434482,0.9309313,0.001463469,0.06178668,0.0005052998,0.00459939],"study_design_scores_gemma":[0.000008490199,0.00001847383,0.00006395682,0.000002599156,0.000006194324,0.00001663388,0.0000240221,0.9878855,0.0001193985,0.01137746,0.0004719004,0.00000523595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03656412,0.0002141476,0.9520252,0.0004237718,0.00006520809,0.00008964898,0.00008088682,0.0001018772,0.01043505],"genre_scores_gemma":[0.9694222,0.000218963,0.02600227,0.00008575999,0.00003511168,0.0001174819,0.00003921768,0.00002075218,0.004058318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006241791,"threshold_uncertainty_score":0.01241094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008201247980156522,"score_gpt":0.1825657693228973,"score_spread":0.1743645213427408,"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."}}