{"id":"W2122730366","doi":"10.1109/iemdc.2003.1210386","title":"Simple wind energy controller for an expanded operating range","year":2003,"lang":"en","type":"article","venue":"","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wind power; Turbine; Computer science; Range (aeronautics); Wind speed; Power (physics); Controller (irrigation); Energy (signal processing); Simple (philosophy); Power optimizer; Automotive engineering; Electrical engineering; Engineering; Maximum power point tracking; Aerospace engineering; Voltage; Meteorology; 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":[0.0001373934,0.0004411823,0.000441283,0.0002337415,0.0002649341,0.0004577771,0.0006764376,0.0005635996,0.005152063],"category_scores_gemma":[0.0003351159,0.0001746251,0.0002485714,0.0001289773,0.0001592567,0.0004268387,0.0002308624,0.0007034601,0.001533537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008993394,"about_ca_system_score_gemma":0.0001613638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571312,"about_ca_topic_score_gemma":0.0006890246,"domain_scores_codex":[0.9998154,0.0000139031,0.00001618624,0.00004382456,0.00009805874,0.00001254048],"domain_scores_gemma":[0.9997981,0.00004894697,0.000017374,0.00004243484,0.00008088638,0.00001215881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000423687,0.0003062734,0.0004064337,0.0006352656,0.0000721488,0.0004725936,0.0001194168,0.01731752,0.6293112,0.006460116,0.005405529,0.3390698],"study_design_scores_gemma":[0.001277202,0.002904204,0.007279862,0.0001717467,0.000304653,0.003796774,0.00005354759,0.4450383,0.4039284,0.006743831,0.128315,0.0001864729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07553146,0.0009738191,0.8888904,0.0002865943,0.0007677338,0.0004300883,0.0001751094,0.00653983,0.02640498],"genre_scores_gemma":[0.8299609,0.000279332,0.1521161,0.0003444712,0.000195615,0.0002985943,0.0001950924,0.0001029256,0.01650696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005152063,"threshold_uncertainty_score":0.0172354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465557359409578,"score_gpt":0.2599240413233006,"score_spread":0.2352684677292048,"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."}}