{"id":"W7066556032","doi":"","title":"Intelligent estimation of the wake losses in wind farms : Artificial neural network estimation of the power of a wind farm considering the effect of wake losses","year":2018,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Medieval Literature and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wake; Artificial neural network; Wind power; Mean squared error; Wind speed; Power (physics); Turbine; Control theory (sociology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004036008,0.0005567452,0.0003442877,0.0003113826,0.0002186474,0.0005906767,0.0003296523,0.0004577165,0.0003819966],"category_scores_gemma":[0.001155384,0.0002152193,0.0002421416,0.0002784159,0.0001681822,0.0004220262,0.0002230231,0.000473436,0.00008868528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239878,"about_ca_system_score_gemma":0.000383102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360631,"about_ca_topic_score_gemma":0.01070549,"domain_scores_codex":[0.9998927,0.00002779791,0.00000736143,0.000026133,0.00003001214,0.00001594659],"domain_scores_gemma":[0.9997326,0.0001490671,0.0000358492,0.00001270729,0.00006212348,0.000007729345],"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":[0.00005042573,0.00005250341,0.002651096,0.00002038567,0.00002473495,0.0000236413,0.00001554392,0.9671512,0.002363889,0.0001602425,0.000126434,0.02735993],"study_design_scores_gemma":[9.756503e-7,0.00000815704,0.0005736497,0.000001282045,0.000002369272,0.000001388404,0.000002795825,0.9988323,0.0004925624,0.00006168515,0.00002151624,0.000001390795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7682715,0.0004875424,0.2273318,0.0001558453,0.00005902755,0.00004259062,0.00009889865,0.0004162102,0.003136609],"genre_scores_gemma":[0.9853011,0.0001597964,0.01321833,0.0000102778,0.00001101648,0.00002362173,0.00008172763,0.000009429862,0.001184791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360631,"threshold_uncertainty_score":0.02705425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169806302614342,"score_gpt":0.2686098771484642,"score_spread":0.2369118141223208,"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."}}