{"id":"W4416233565","doi":"10.1109/ee67693.2025.11227064","title":"Data-Driven Prediction of Unknown Power Electronic Systems Using a Self-Organizing Adaptive Deep Belief Network","year":2025,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Nonlinear system; Convergence (economics); Power (physics); Deep belief network; Filter (signal processing); Electric power system; Artificial neural network; Deep learning","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":[0.000489191,0.0005019507,0.0005404885,0.0002421793,0.0002483082,0.000518795,0.0008199317,0.0006867118,0.0008265371],"category_scores_gemma":[0.001549659,0.0004044829,0.0003409391,0.0002497068,0.0004805617,0.0006051126,0.0006455933,0.001021675,0.0001114816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000572402,"about_ca_system_score_gemma":0.0006697786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097658,"about_ca_topic_score_gemma":0.009970853,"domain_scores_codex":[0.9998569,0.00003825479,0.000007987423,0.00003795868,0.00003532302,0.00002349892],"domain_scores_gemma":[0.9994324,0.0003407979,0.00005779875,0.00002940234,0.0001139192,0.00002576542],"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":[0.0000227754,0.00001500484,0.0003771522,0.00001151209,0.00001065869,0.00001926109,0.00001297758,0.9898186,0.0004628756,0.0007263048,0.000129061,0.00839381],"study_design_scores_gemma":[5.915666e-7,0.000001795903,0.00001963471,4.140779e-7,4.55457e-7,6.359487e-7,5.187122e-7,0.9997661,0.00005414421,0.0001446765,0.00001071359,4.455042e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09690269,0.0002574364,0.9000436,0.0003270397,0.00003576495,0.00003475832,0.0000680518,0.0004332867,0.001897326],"genre_scores_gemma":[0.9601352,0.00009547669,0.03837869,0.00006763,0.00001743603,0.00006015045,0.00009108373,0.00001688396,0.001137458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097658,"threshold_uncertainty_score":0.02182537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008337146826636943,"score_gpt":0.1947766906833088,"score_spread":0.1864395438566719,"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."}}