{"id":"W4407948796","doi":"10.1109/tia.2025.3546198","title":"One-Node Method to Implement Smart Grid Functions Using a Battery Storage System","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Battery (electricity); Smart grid; Node (physics); Energy storage; Automotive battery; Computer data storage; Battery storage; Electrical engineering; Embedded system; Engineering; Computer hardware; 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":[0.0001586728,0.000483137,0.0003253738,0.000285294,0.0001957947,0.0003333824,0.001029021,0.0002582424,0.005542758],"category_scores_gemma":[0.0003264501,0.0001393783,0.0001817141,0.0002176104,0.0001661484,0.0007418579,0.0003341135,0.0002657819,0.001470497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562736,"about_ca_system_score_gemma":0.0002707891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030506,"about_ca_topic_score_gemma":0.00181083,"domain_scores_codex":[0.999815,0.00004054399,0.00001144043,0.0000394473,0.00007457978,0.00001889258],"domain_scores_gemma":[0.9997795,0.00003782042,0.00001729533,0.00007017032,0.00008062518,0.00001459063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00086161,0.0003843427,0.004075481,0.0007145839,0.0001257367,0.0004477816,0.0004562028,0.1033322,0.2563413,0.01020656,0.007361638,0.6156925],"study_design_scores_gemma":[0.0002832318,0.001655869,0.003415458,0.00006202279,0.0001256652,0.0007646551,0.0002016031,0.6780051,0.2596858,0.003767506,0.05194323,0.00008986562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2045997,0.0005370991,0.7656712,0.0001701764,0.0002387025,0.0003750669,0.0002787917,0.009533117,0.01859614],"genre_scores_gemma":[0.8807173,0.0001628288,0.1101942,0.00006644116,0.00002532984,0.0001425801,0.0001940971,0.0001528462,0.008344345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005542758,"threshold_uncertainty_score":0.01854235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854962128370519,"score_gpt":0.2670683754063587,"score_spread":0.2485187541226535,"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."}}