{"id":"W2600559383","doi":"10.1049/iet-gtd.2016.1562","title":"Real‐time hardware‐in‐the‐loop simulation for islanding detection schemes in hybrid distributed generation systems","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Islanding; Hardware-in-the-loop simulation; Loop (graph theory); Computer science; Distributed power generation; Distributed generation; Control engineering; Embedded system; Real-time computing; Engineering; Electrical engineering; Renewable energy; Mathematics","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":[0.0002496428,0.0003238614,0.000244867,0.0001587505,0.0001683936,0.0002859107,0.0004127564,0.0003160402,0.001744176],"category_scores_gemma":[0.0006828507,0.0001380179,0.0002195122,0.000106288,0.0002446724,0.0003344131,0.0002550541,0.0003751842,0.0001110145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002159426,"about_ca_system_score_gemma":0.0003008922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621281,"about_ca_topic_score_gemma":0.002227177,"domain_scores_codex":[0.9999155,0.00003343756,0.000004455133,0.00001040826,0.0000253775,0.00001088858],"domain_scores_gemma":[0.9996706,0.0002096244,0.00003268832,0.00002897448,0.00004368703,0.00001439297],"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":[0.0000622709,0.00004123886,0.0007733227,0.00003163537,0.000009193616,0.00003056142,0.00004238682,0.9869321,0.003051781,0.0007192199,0.0001174719,0.008188905],"study_design_scores_gemma":[0.000003573062,0.00001433644,0.00005237988,6.537825e-7,9.54849e-7,0.000001491306,0.000002159165,0.9992059,0.0005874647,0.00007487874,0.00005546714,7.652952e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4652164,0.00009443396,0.5258113,0.0001331092,0.00004769228,0.0001007513,0.00010891,0.001121827,0.00736545],"genre_scores_gemma":[0.9846516,0.0000205053,0.01467618,0.00000847006,0.000001956684,0.00004562037,0.00002772314,0.00001577308,0.00055214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002621281,"threshold_uncertainty_score":0.005834877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713826886556035,"score_gpt":0.2670890484161699,"score_spread":0.2399507795506095,"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."}}