{"id":"W2304485435","doi":"10.1109/smartgridcomm.2015.7436392","title":"On using distributed energy resources to reshape the dynamics of power systems during transients","year":2015,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Controller (irrigation); Control theory (sociology); Distributed generation; Computer science; Permanent magnet synchronous generator; Electric power system; Power (physics); Rotor (electric); Grid; Control engineering; Distributed power; Engineering; Renewable energy; Control (management); Mathematics; Electrical engineering","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":[0.0001819293,0.0000988503,0.0001503879,0.00005406509,0.00003713014,0.00002908214,0.0001392986,0.00004728614,0.00001738507],"category_scores_gemma":[0.00003929644,0.00006998534,0.00003417065,0.0002395308,0.00001569809,0.00004292886,0.00001715588,0.00004478365,0.000002821651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643583,"about_ca_system_score_gemma":0.000009239882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00013216,"about_ca_topic_score_gemma":0.00008862244,"domain_scores_codex":[0.9992144,0.00005389564,0.0002590636,0.0001102487,0.0002135781,0.000148779],"domain_scores_gemma":[0.9994926,0.00003289229,0.00002533299,0.0002683265,0.00007885556,0.0001019451],"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":[0.00002649355,0.00001431047,0.0002708571,0.00003236372,0.00001821298,8.552204e-7,0.0006621893,0.9960886,0.0001467815,0.002521052,0.000211867,0.000006470868],"study_design_scores_gemma":[0.0002635592,0.00002946108,0.0008998885,0.00005678729,0.000006012036,0.000003692777,0.001018022,0.9963231,0.000270503,0.00001174623,0.001000478,0.0001167427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6282032,0.00005643363,0.3643844,0.0000435781,0.0004047379,0.0001271284,0.00007254807,0.0001252251,0.006582696],"genre_scores_gemma":[0.9997091,7.776757e-7,0.00009054533,0.00001239001,0.000005283369,0.000004783941,0.000009378133,0.00001551559,0.000152177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3715059,"threshold_uncertainty_score":0.285392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319385215819536,"score_gpt":0.2055414209642628,"score_spread":0.1923475688060674,"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."}}