{"id":"W2625206565","doi":"10.1109/icps.2017.7945110","title":"Power controller for PMG-based WECSs with battery storage systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"AC power; Controller (irrigation); Computer science; Wind power; Voltage; Converters; Power (physics); Battery (electricity); Energy storage; Automotive engineering; Grid; Control theory (sociology); Electrical engineering; Engineering; 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":[0.00007759169,0.0001118391,0.0001685661,0.00003166547,0.0001245707,0.0001905364,0.0001276457,0.000048323,0.00006582511],"category_scores_gemma":[0.00001037601,0.00008151413,0.00004032178,0.00001211067,0.00001637706,0.0001260264,0.000005508397,0.00004092588,0.00001908745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002221444,"about_ca_system_score_gemma":0.000009809643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118398,"about_ca_topic_score_gemma":0.000008819323,"domain_scores_codex":[0.9995374,0.000005532061,0.0001098238,0.0001086914,0.00006695416,0.0001716181],"domain_scores_gemma":[0.9995648,0.00003260543,0.00003820781,0.0002629776,0.00005708647,0.00004435209],"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":[0.0000883376,0.00001198687,0.0003606292,0.00005854092,0.00007083181,0.000002737118,0.00001677579,0.9909109,0.0008309886,0.0001648025,0.007086209,0.0003972236],"study_design_scores_gemma":[0.002628115,0.00005120196,0.0006321925,0.00002518606,0.0000174336,0.000001299869,0.00001368856,0.9804083,0.0002154348,0.000002917266,0.01585525,0.0001490478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004941576,0.0003906901,0.9842702,0.0001975676,0.0005273939,0.0006112522,0.00002227303,0.0002546425,0.008784461],"genre_scores_gemma":[0.997533,0.000004774629,0.001128027,0.00009605045,0.00009326154,0.0001010784,0.000007762651,0.00003139667,0.001004714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9925914,"threshold_uncertainty_score":0.332405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00518729178139512,"score_gpt":0.1820367689826221,"score_spread":0.176849477201227,"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."}}