{"id":"W2954646619","doi":"10.1109/tpwrs.2019.2925703","title":"Microgrid Stability Definitions, Analysis, and Examples","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":732,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universitat Politècnica de Catalunya","keywords":"Microgrid; Intermittency; Stability (learning theory); Computer science; Wind power; Task (project management); Inertia; Power (physics); Distributed generation; Control engineering; Reliability engineering; Engineering; Voltage; Renewable energy; Electrical engineering; Systems engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001246908,0.0001487321,0.0002497752,0.0002162425,0.000066715,0.00008007885,0.00006317301,0.00008302279,0.000246565],"category_scores_gemma":[8.183465e-7,0.0001458684,0.000106625,0.0003608319,0.00002021779,0.0001211622,4.201025e-7,0.0001250656,0.0001023759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000479552,"about_ca_system_score_gemma":0.000008875427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008806535,"about_ca_topic_score_gemma":0.00007610412,"domain_scores_codex":[0.9992071,0.00004334299,0.0002515431,0.0002122901,0.0001097444,0.0001759756],"domain_scores_gemma":[0.9995053,0.00007046503,0.00002633827,0.0002878095,0.00004216271,0.0000679228],"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":[0.00004322434,0.00015144,0.002361646,0.0002431862,0.001530404,0.000002593156,0.0007980562,0.9696348,0.02260585,0.0001296139,0.0002303815,0.002268774],"study_design_scores_gemma":[0.003866408,0.0004448588,0.01023091,0.0002167111,0.002241733,0.00007951757,0.00217654,0.8945369,0.04846494,0.00005653762,0.03548807,0.00219686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.178232,0.002561777,0.8164729,0.00001636564,0.001207195,0.0003780813,0.000177338,0.0003164944,0.0006378926],"genre_scores_gemma":[0.9988865,0.0007016557,0.0002719107,0.00001587231,0.000006745164,0.00004373143,0.00001254218,0.00002029963,0.00004072195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8206546,"threshold_uncertainty_score":0.5948339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145371878188285,"score_gpt":0.1799185597675074,"score_spread":0.1684648409856245,"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."}}