{"id":"W2054842413","doi":"10.1109/pesgm.2012.6343938","title":"Microgrid design considerations for next generation grid codes","year":2012,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Manitoba; Western University","funders":"","keywords":"Microgrid; Distributed generation; Grid; Computer science; Core (optical fiber); Distributed computing; Reliability engineering; Telecommunications; Engineering; Electrical engineering; Renewable energy; Control (management)","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":[0.0001290188,0.00009275428,0.0000899411,0.00004053403,0.00009779713,0.00008060031,0.00002660596,0.00005151364,0.0002228523],"category_scores_gemma":[0.00003109645,0.00008755981,0.00003732093,0.0000420171,0.000009107268,0.0003304249,0.00000421557,0.00003290307,0.00003959355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000243427,"about_ca_system_score_gemma":0.00001002467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003037675,"about_ca_topic_score_gemma":0.00001085695,"domain_scores_codex":[0.9995204,0.00001572695,0.0001471114,0.00007097296,0.00003932192,0.0002064766],"domain_scores_gemma":[0.999691,0.00009721198,0.00001375811,0.00008781223,0.00005284899,0.00005733266],"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":[0.000006395133,0.00003996756,0.00009726806,0.00002242784,0.00006732308,1.979477e-7,0.0003050516,0.3801779,0.4122051,0.003459412,0.1915095,0.0121095],"study_design_scores_gemma":[0.0003958511,0.00001901846,0.00004250241,0.000002473866,0.00003263934,0.000008521917,0.00002393435,0.8612274,0.1125765,0.0001515347,0.0253379,0.0001816953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002928212,0.004562354,0.9901129,0.0001516336,0.0009529807,0.0004850947,0.00002006888,0.0003280611,0.0004587155],"genre_scores_gemma":[0.6288507,0.000551243,0.3680666,0.0003649006,0.001725415,0.0001932481,0.0001123529,0.00003610665,0.00009944739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6259225,"threshold_uncertainty_score":0.3570586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07568734819671578,"score_gpt":0.2302574379726843,"score_spread":0.1545700897759685,"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."}}