{"id":"W4410871042","doi":"10.1016/j.ref.2025.100723","title":"Coordinated scheduling of renewable energy micro-grids through coupled energy flow and battery delivery logistics","year":2025,"lang":"en","type":"article","venue":"Renewable energy focus","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"State Grid Fujian Electric Power Company","keywords":"Renewable energy; Automotive engineering; Scheduling (production processes); Flow battery; Environmental economics; Business; Computer science; Battery (electricity); Engineering; Economics; Operations management; Electrical engineering; Power (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005860371,0.0004777896,0.0008450345,0.0003371935,0.0005215535,0.001664221,0.0009732131,0.0004836132,0.002798516],"category_scores_gemma":[0.001680711,0.0004505717,0.0003249435,0.000611588,0.0004118917,0.001047838,0.0009829215,0.0005888397,0.0002770392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149677,"about_ca_system_score_gemma":0.001586091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007055008,"about_ca_topic_score_gemma":0.009221182,"domain_scores_codex":[0.9996146,0.00011853,0.00001674284,0.00007996937,0.00006789386,0.0001021929],"domain_scores_gemma":[0.999348,0.0003159297,0.0001002992,0.00003974702,0.0001049127,0.00009102828],"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":[0.0001285604,0.00003513651,0.0004228996,0.00002210877,0.00001734977,0.0000434369,0.00003212834,0.9807385,0.0009648803,0.007190332,0.0007448285,0.00965979],"study_design_scores_gemma":[0.00001058088,0.0000205385,0.0001236031,0.000001835361,0.000004668107,0.000004571034,0.00002076489,0.9965665,0.0002333064,0.002655492,0.0003549514,0.000003124541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2394989,0.00047732,0.7404595,0.0007058313,0.0002587861,0.0001683585,0.0002527988,0.000746343,0.01743228],"genre_scores_gemma":[0.9859535,0.0000818576,0.01212614,0.00002931756,0.00002421257,0.00003555154,0.00005652692,0.0000386303,0.001654147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007055008,"threshold_uncertainty_score":0.01402789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005196165534730275,"score_gpt":0.1880750054379187,"score_spread":0.1828788399031884,"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."}}