{"id":"W4411867011","doi":"10.1109/tpel.2025.3585117","title":"Optimal Control Strategy With Efficiency and Reliability Improvement for Offshore DC Microgrids","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Submarine pipeline; Control (management); Computer science; Automotive engineering; Engineering; Control theory (sociology); Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001210748,0.0002064542,0.0002038214,0.00009873772,0.0001375494,0.00005493484,0.00008953553,0.0001000818,0.00001737936],"category_scores_gemma":[0.000001579149,0.0001846798,0.00007168738,0.0001889703,0.00004560855,0.00008475356,4.445742e-7,0.0002381144,0.00000127012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544631,"about_ca_system_score_gemma":0.0001021524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004205919,"about_ca_topic_score_gemma":0.00003305593,"domain_scores_codex":[0.9990177,0.00001216184,0.0002231304,0.0002719952,0.00008545024,0.0003895789],"domain_scores_gemma":[0.9995678,0.00006057792,0.00002279828,0.0002093792,0.00008694188,0.00005247527],"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":[0.0002920701,0.0001356633,0.000004873393,0.0000549412,0.0001150626,4.836246e-7,0.00004909597,0.9758602,0.007359543,0.0001012036,0.0000999358,0.01592692],"study_design_scores_gemma":[0.005128755,0.002340127,0.00006252264,0.00004088945,0.0002831681,0.000007705848,0.00007789221,0.9046695,0.0799133,0.0001056135,0.006915233,0.0004552459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07840174,0.001320914,0.9188296,0.0001359926,0.0001790419,0.0007423895,0.0000557118,0.0001755452,0.0001590199],"genre_scores_gemma":[0.9978365,0.00037372,0.001341551,0.00009461386,0.000009077386,0.0001806632,0.00000515452,0.00002604605,0.0001326461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9194348,"threshold_uncertainty_score":0.7531022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002160665694298184,"score_gpt":0.1925649471512013,"score_spread":0.1904042814569032,"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."}}