{"id":"W2038130747","doi":"10.6000/1929-6002.2014.03.02.6","title":"Wind Turbine and Photovoltaic Hybrid Generations under Extreme Operating Gust","year":2014,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maximum power point tracking; Turbine; Photovoltaic system; Wind power; Automotive engineering; Wind speed; Variable speed wind turbine; Induction generator; Engineering; Power optimizer; Rotor (electric); Electrical engineering; Control theory (sociology); Voltage; Marine engineering; Computer science; Permanent magnet synchronous generator; Meteorology; Inverter; Aerospace engineering; Physics; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001771594,0.0002652627,0.0004196129,0.000168206,0.0002350509,0.0003947252,0.0002267595,0.0003019949,0.000684235],"category_scores_gemma":[0.0002384612,0.00008933145,0.0002069516,0.0002248083,0.0001995529,0.0003311378,0.0002555565,0.0001452516,0.00007801924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015115,"about_ca_system_score_gemma":0.0001054739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832023,"about_ca_topic_score_gemma":0.00251512,"domain_scores_codex":[0.999909,0.00002759677,0.000004185079,0.00001497891,0.00002234188,0.00002195901],"domain_scores_gemma":[0.9998803,0.00004551908,0.0000268337,0.00001167919,0.00002328375,0.00001241999],"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":[0.0008132366,0.0001357884,0.02685118,0.0001980197,0.0001227166,0.004202904,0.000131434,0.9175866,0.02963666,0.001759508,0.001330307,0.01723165],"study_design_scores_gemma":[0.00003976482,0.0004593448,0.02799,0.000009401692,0.00004731322,0.0005168073,0.0003784928,0.9627868,0.005973775,0.001204572,0.0005761634,0.00001774158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919865,0.00008791932,0.004972288,0.00004657938,0.00001223887,0.00001633558,0.0001024071,0.00005547361,0.00272022],"genre_scores_gemma":[0.9995491,0.00002043178,0.0001953876,0.000003321614,0.000001384676,0.000002780475,0.00002295608,0.000001515747,0.0002032141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001832023,"threshold_uncertainty_score":0.003642678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008460336707067211,"score_gpt":0.1943288535057303,"score_spread":0.1858685167986631,"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."}}