{"id":"W2120103362","doi":"10.1109/ccece.2007.360","title":"A New Wind Power Plant Simulation Method to Study Power Quality","year":2007,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Ministry of Science Research and Technology","keywords":"Wind power; Turbine; Power optimizer; Marine engineering; Power station; Aerodynamics; Wind profile power law; Wind speed; Environmental science; Automotive engineering; Engineering; Maximum power point tracking; Meteorology; Electrical engineering; Voltage; Aerospace engineering; Physics","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":[0.0003729318,0.0006576596,0.0005315586,0.000362495,0.0002608554,0.0004559982,0.0007873302,0.000601616,0.003508965],"category_scores_gemma":[0.0008763687,0.0002983203,0.0005518071,0.0004491789,0.0002188883,0.0006810757,0.0004222979,0.001061818,0.0005606341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187708,"about_ca_system_score_gemma":0.0004040635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00239738,"about_ca_topic_score_gemma":0.003112238,"domain_scores_codex":[0.9998172,0.00005955952,0.00001243805,0.00002125528,0.00007921999,0.00001042192],"domain_scores_gemma":[0.9996684,0.0001385286,0.00002970746,0.00005269087,0.00008836254,0.00002241377],"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":[0.00006413075,0.00008644711,0.0009790226,0.0001439902,0.0001054603,0.0001866725,0.00009246822,0.9156787,0.0171337,0.01790476,0.00229593,0.04532871],"study_design_scores_gemma":[0.00001645698,0.00001819674,0.00008590684,0.000004230491,0.000008012863,0.0000231566,0.000003773112,0.9943298,0.0008115687,0.001034085,0.003659759,0.000004959923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009793318,0.0001035229,0.9844311,0.0000699116,0.000117816,0.00008283164,0.0001608319,0.0008677213,0.004373031],"genre_scores_gemma":[0.3413083,0.0005579821,0.6456662,0.00009071443,0.000102936,0.0007290146,0.0006305327,0.0004791751,0.01043515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003508965,"threshold_uncertainty_score":0.0117386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552252758505881,"score_gpt":0.3665985715929039,"score_spread":0.3310760440078451,"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."}}