{"id":"W2128456569","doi":"10.1049/iet-rpg:20070093","title":"Development and simulation of dynamic control strategies for wind farms","year":2009,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Turbine; Wind power; Wind speed; Tracking (education); Marine engineering; Control (management); Mode (computer interface); Wind profile power law; Power (physics); Engineering; Control theory (sociology); Environmental science; Automotive engineering; Computer science; Meteorology; Aerospace engineering; Electrical 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":[0.0003865158,0.00069437,0.0007440218,0.0003820955,0.0004624171,0.0008651526,0.0008575137,0.001059252,0.003426939],"category_scores_gemma":[0.001183538,0.0004163976,0.0004728519,0.0003667037,0.0003803187,0.0005622167,0.0004812502,0.0007890343,0.0003883959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027812,"about_ca_system_score_gemma":0.0007218507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105647,"about_ca_topic_score_gemma":0.006255308,"domain_scores_codex":[0.9998547,0.0000354504,0.00001108053,0.00001788395,0.00005392334,0.00002705235],"domain_scores_gemma":[0.999589,0.0002051138,0.00003338166,0.00003342075,0.0001128573,0.0000262592],"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":[0.0000155212,0.00002168352,0.0001723848,0.00002715894,0.000008497594,0.00002981686,0.00001697694,0.9944293,0.000686967,0.001236835,0.0001373079,0.003217595],"study_design_scores_gemma":[0.000009070581,0.00001551498,0.00004127779,0.000002242958,0.000001929476,0.000002886185,0.000003978839,0.9990624,0.0002825707,0.0002465977,0.0003298193,0.000001818171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1946094,0.0004975587,0.7643173,0.0004227861,0.0002507608,0.0005247089,0.0004794805,0.001801502,0.0370966],"genre_scores_gemma":[0.9140691,0.0002401824,0.07989217,0.00003949595,0.0000160147,0.0006313729,0.000267773,0.00006813194,0.004775887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0105647,"threshold_uncertainty_score":0.02100641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078162985099414,"score_gpt":0.2281722821547741,"score_spread":0.2173906523037799,"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."}}