{"id":"W4402572319","doi":"10.1109/icdcm60322.2024.10664829","title":"Unified Machine Learning Based Fault Detection Strategy Through Voltage-Sensing for Both AC and DC Side Faults in Photovoltaic Farms","year":2024,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Photovoltaic system; Voltage; Fault (geology); Fault detection and isolation; Computer science; Electrical engineering; Electronic engineering; Engineering; Artificial intelligence; Actuator","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005025358,0.0003458596,0.0003808203,0.0003665708,0.0001649958,0.000200396,0.0001122067,0.000268892,0.00007566372],"category_scores_gemma":[0.0002155313,0.0003193794,0.000101608,0.0006488634,0.00005485745,0.0004201916,0.00004444684,0.0003479401,0.00001023733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219036,"about_ca_system_score_gemma":0.00008377973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905236,"about_ca_topic_score_gemma":0.01406025,"domain_scores_codex":[0.9979584,0.0001390814,0.0005863215,0.0006517629,0.0002383986,0.0004260981],"domain_scores_gemma":[0.9990482,0.0004002592,0.0001123817,0.0002572071,0.0001033812,0.00007861407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001963204,0.00004718593,0.0002263522,0.0004192998,0.00006812778,0.00005051754,0.0006223136,0.108291,0.852483,0.001565125,0.0001122509,0.0359185],"study_design_scores_gemma":[0.0006119725,0.0001394558,0.00007273969,0.000149851,0.00002002993,0.00001757316,0.0003346773,0.627683,0.3592015,0.001698805,0.009790535,0.0002798911],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1062845,0.0005728777,0.879654,0.00006240261,0.0002923144,0.001285285,0.00002393023,0.002358132,0.009466517],"genre_scores_gemma":[0.9850539,0.00007417633,0.01231769,0.0001792458,0.00007024347,0.00009619098,0.00009082275,0.0001095577,0.002008192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8787694,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271030241600687,"score_gpt":0.2729351214460522,"score_spread":0.2502248190300453,"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."}}