{"id":"W2783797510","doi":"10.1109/isgteurope.2017.8260291","title":"Coordinated charging of electric vehicles connected to a net-metered PV parking lot","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Integer programming; Automotive engineering; Photovoltaic system; Grid; Scheduling (production processes); Parking lot; Environmental science; Electric vehicle; Charging station; Computer science; Electrical engineering; Engineering; Power (physics); Civil engineering; Mathematics; Operations management; Physics","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":[0.0001031041,0.0001806858,0.0002853022,0.0001657316,0.0001709999,0.00009414845,0.0003838994,0.00009832937,0.0001240864],"category_scores_gemma":[0.00009039636,0.0001667664,0.00005995549,0.0002802839,0.00001660242,0.0001545633,0.00005282288,0.0001792016,0.00001794324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004736382,"about_ca_system_score_gemma":0.00001578987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121323,"about_ca_topic_score_gemma":0.00001757693,"domain_scores_codex":[0.9990044,0.00001385659,0.0002622002,0.0001880115,0.0001277186,0.0004038541],"domain_scores_gemma":[0.9992685,0.00004028789,0.00007850825,0.0004249212,0.00007986029,0.0001078958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002755398,0.00001332582,0.005854289,0.00006950532,0.0001119497,0.000008991033,0.0001693597,0.00342171,0.9285461,0.0008763201,0.003602365,0.05729857],"study_design_scores_gemma":[0.0008385082,0.000181346,0.1003688,0.00007098766,0.00003278913,0.0000152013,0.00003973663,0.2426368,0.652133,0.0005843962,0.00263484,0.0004635702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882271,0.0001991097,0.004501507,0.0001081607,0.0001146021,0.0001897514,0.000004237669,0.0002891149,0.006366427],"genre_scores_gemma":[0.9985875,0.00002658703,0.001070217,0.00007600605,0.00006227885,0.000008257336,0.000004497282,0.00003924741,0.0001254188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2764131,"threshold_uncertainty_score":0.6800535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009559063690472012,"score_gpt":0.2166931383336331,"score_spread":0.2071340746431611,"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."}}