{"id":"W4317396145","doi":"10.1016/j.energy.2023.126702","title":"Two-stage real-time optimal electricity dispatch strategy for urban residential quarter with electric vehicles’ charging load","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electricity; Time horizon; Quarter (Canadian coin); Demand response; Computer science; Mathematical optimization; Operations research; Engineering; Automotive engineering; Electrical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000170485,0.0003253338,0.0003222632,0.0002413658,0.0001707924,0.0001112724,0.000250227,0.0001464445,0.00008459824],"category_scores_gemma":[0.00001028696,0.0002964075,0.0001068562,0.00123618,0.00001817174,0.0002190479,0.00002152262,0.0002462056,0.00003579971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991247,"about_ca_system_score_gemma":0.0001123771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004853433,"about_ca_topic_score_gemma":0.0001018581,"domain_scores_codex":[0.9980105,0.00003452579,0.0002951207,0.0003912704,0.000339365,0.0009292074],"domain_scores_gemma":[0.9993334,0.00008374255,0.00006354514,0.0002916774,0.00008538285,0.0001422728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00033378,0.00004286882,0.0006554861,0.0001220544,0.0003146445,0.0001101221,0.0003347454,0.414931,0.4834087,0.007777153,0.07666243,0.01530705],"study_design_scores_gemma":[0.00180098,0.0006702046,0.003730277,0.00003056494,0.00006316051,0.00002448679,0.00005629999,0.8703999,0.1150766,0.0004032365,0.006945653,0.0007985952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808466,0.0002918195,0.0127763,0.00007636131,0.0001219406,0.0002329458,0.0000284184,0.001239383,0.004386209],"genre_scores_gemma":[0.9950513,0.0001642345,0.0005315757,0.00003633582,0.0005933269,0.00008007318,0.00008714752,0.0001177421,0.003338307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4554689,"threshold_uncertainty_score":0.9999488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005483443568666653,"score_gpt":0.20864256620811,"score_spread":0.2031591226394434,"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."}}