{"id":"W2773708155","doi":"10.1049/iet-rpg.2017.0579","title":"Oscillatory stability assessment of microgrid in autonomous operation with uncertainties","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Microgrid; Stability (learning theory); Control theory (sociology); Computer science; Control engineering; Reliability engineering; Engineering; Control (management); Artificial intelligence; Machine 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":[0.0003290874,0.0003457949,0.0002892731,0.000283644,0.00019727,0.000408268,0.0002434946,0.0002629872,0.0005417203],"category_scores_gemma":[0.001002554,0.0001245578,0.0003276895,0.0001579686,0.000255248,0.0002798455,0.0002994062,0.0002058935,0.00005401722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596101,"about_ca_system_score_gemma":0.0002010885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00343626,"about_ca_topic_score_gemma":0.001563671,"domain_scores_codex":[0.9999026,0.00003293852,0.000005545382,0.00001666167,0.00002759365,0.00001468876],"domain_scores_gemma":[0.9996483,0.0001925513,0.00006509353,0.00002728318,0.00005246628,0.00001437376],"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":[0.00009985413,0.00001475767,0.004715448,0.00003664519,0.00003654448,0.0001500802,0.0000568367,0.9848509,0.004077698,0.0009116575,0.00008657252,0.004963015],"study_design_scores_gemma":[0.00000227177,0.00003793827,0.00157885,0.000002697271,0.000005805247,0.00001281118,0.00001904633,0.9975131,0.000494463,0.0002799548,0.0000501405,0.000002986883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291695,0.0001448476,0.0673838,0.00004463317,0.000007971324,0.00002052169,0.00007661396,0.00009781411,0.003054398],"genre_scores_gemma":[0.9995433,0.0000153513,0.000332733,0.000001109528,7.563411e-7,0.000003750462,0.00001020362,0.00000207536,0.00009074769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00343626,"threshold_uncertainty_score":0.00683254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136114522929526,"score_gpt":0.2312434433689453,"score_spread":0.2176319910759927,"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."}}