{"id":"W4414554672","doi":"10.1038/s41598-025-18242-0","title":"Adaptive fuzzy-recurrent neural network tuned fractional-order distributed control for robust frequency regulation in multi-microgrid systems","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Adaptability; Robustness (evolution); Scalability; Automatic frequency control; Settling time; Control theory (sociology); PID controller; Overshoot (microwave communication); Frequency regulation","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":[0.0007186151,0.0001991002,0.000287305,0.0002013896,0.0002197483,0.0002480434,0.00009093076,0.0001212617,0.00001577409],"category_scores_gemma":[0.0001102682,0.0002004719,0.00009660384,0.0008605,0.00005570794,0.00025352,0.0000159907,0.0001458895,0.00000317975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220149,"about_ca_system_score_gemma":0.00008549754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003948325,"about_ca_topic_score_gemma":0.0001156954,"domain_scores_codex":[0.9981251,0.00005037755,0.0007255582,0.0005054895,0.0001953307,0.000398138],"domain_scores_gemma":[0.9989333,0.00007788072,0.0001884881,0.0003565113,0.0003830221,0.00006086085],"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":[0.00002486078,0.00004350811,0.002189416,0.00004732298,0.00004539748,0.00001097363,0.00002518389,0.984973,0.001750859,0.0001267255,0.008462086,0.002300704],"study_design_scores_gemma":[0.0008664562,0.00001255969,0.004095125,0.0001068458,0.00004061043,0.00001255174,0.00002988895,0.9886209,0.0001108778,0.0006273165,0.005285575,0.0001912693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008165249,0.006907976,0.957019,0.0001198366,0.0252123,0.002046981,0.00008366313,0.00030099,0.0001440312],"genre_scores_gemma":[0.9929378,0.0000258837,0.005265352,0.00001515009,0.0001798685,0.0003692019,0.0009382782,0.00002461408,0.0002438725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847725,"threshold_uncertainty_score":0.8175005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265805744645585,"score_gpt":0.2219138251515129,"score_spread":0.209255767705057,"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."}}