{"id":"W4313894315","doi":"10.3390/en16020685","title":"Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Renewable energy; Energy management; Intermittent energy source; Computer science; Energy management system; Integer programming; Nuclear power; Automotive engineering; Engineering; Energy (signal processing); Electrical engineering; Distributed generation; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001369849,0.0002997014,0.0003616252,0.0006243882,0.0001089338,0.00004474731,0.0003680582,0.00007611472,0.000005580343],"category_scores_gemma":[0.000007227262,0.0002629795,0.00006880111,0.0008854368,0.0001033148,0.0001815873,0.0001437571,0.000118332,0.00001742624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642052,"about_ca_system_score_gemma":0.0000206062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002942663,"about_ca_topic_score_gemma":0.00007650116,"domain_scores_codex":[0.9981766,0.00004669723,0.0003418483,0.0003556731,0.0004911316,0.0005880174],"domain_scores_gemma":[0.9991528,0.00007650964,0.00009831713,0.0004896671,0.0001192161,0.00006351664],"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":[0.00005419449,0.0000160846,0.00001722919,0.0008637572,0.000157748,0.0001454436,0.00005306126,0.9628639,0.0009812145,0.01388873,0.0006268453,0.02033177],"study_design_scores_gemma":[0.0005036506,0.0001731792,0.00002364835,0.0007481847,0.00002758885,0.00001056102,0.00932167,0.8834715,0.0898715,0.00001770437,0.01548306,0.0003477805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.103264,0.0003930798,0.8787884,0.00006050679,0.0005192888,0.0004340175,0.00009517321,0.0112285,0.005216995],"genre_scores_gemma":[0.9900829,0.00005977896,0.00877116,0.000005239358,0.00004506177,0.0002897634,0.00008078583,0.000126253,0.0005390284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8868189,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00947971950768006,"score_gpt":0.2092162815243815,"score_spread":0.1997365620167014,"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."}}