{"id":"W2155400858","doi":"10.1260/0309-524x.34.2.219","title":"Generalized Gain Scheduling for Deloaded Wind Turbine Operation","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Opal-Rt Technologies (Canada)","funders":"","keywords":"Turbine; Gain scheduling; Control theory (sociology); Voltage droop; Wind power; Linearization; Scheduling (production processes); Engineering; Computer science; Control engineering; Control system; Nonlinear system; Electrical engineering; Aerospace engineering; Voltage; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002813184,0.0005254899,0.0003159922,0.0001809884,0.0002134949,0.0005605924,0.0004372475,0.0001882427,0.001451611],"category_scores_gemma":[0.0007111934,0.0001293005,0.0002012197,0.0002055679,0.0003719399,0.0004478434,0.0003720291,0.0005610518,0.0002618204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066973,"about_ca_system_score_gemma":0.0005463931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133855,"about_ca_topic_score_gemma":0.001840694,"domain_scores_codex":[0.9997998,0.00004444325,0.00001764108,0.00005063704,0.0000642201,0.00002331147],"domain_scores_gemma":[0.9997827,0.00006342351,0.00004401269,0.00004065155,0.00005277787,0.00001647139],"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":[0.0004854288,0.00008290227,0.0006276516,0.0002786711,0.00004331141,0.0004226626,0.0003357804,0.6198409,0.09844498,0.05146368,0.001811248,0.2261627],"study_design_scores_gemma":[0.00007976142,0.0004230132,0.0004259296,0.00001709921,0.00001939084,0.0001242017,0.00002970186,0.9565559,0.01815598,0.01868982,0.005446274,0.00003293307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04943456,0.0002730647,0.9458428,0.00006188063,0.00007011966,0.00007424711,0.0000419339,0.0005300222,0.00367137],"genre_scores_gemma":[0.9297038,0.0001609893,0.06854391,0.00004157495,0.00003092795,0.00005001953,0.00005534587,0.00003713277,0.001376269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001451611,"threshold_uncertainty_score":0.00485611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00822009623157519,"score_gpt":0.202242960131496,"score_spread":0.1940228638999208,"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."}}