{"id":"W2151469760","doi":"10.1049/iet-rpg:20080036","title":"Adequacy assessment of generating systems containing wind power considering wind speed correlation","year":2009,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Monte Carlo method; Renewable energy; Electric power system; Environmental science; Reliability (semiconductor); Meteorology; Computer science; Power (physics); Mathematics; Engineering; Statistics; Physics; Electrical engineering","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":[0.001882452,0.0004722375,0.0005669844,0.001027736,0.0002083353,0.0005250073,0.000324741,0.0004521743,0.0006234258],"category_scores_gemma":[0.01210098,0.0002158047,0.0003218711,0.000409195,0.0003939425,0.0005090274,0.0004089302,0.0002257168,0.00008175903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967691,"about_ca_system_score_gemma":0.0003939643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892098,"about_ca_topic_score_gemma":0.001946237,"domain_scores_codex":[0.9989181,0.0007007768,0.00005043293,0.00005613428,0.0002289367,0.00004552227],"domain_scores_gemma":[0.9941374,0.004560677,0.0005007082,0.0002655339,0.0004484936,0.00008722648],"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":[0.0001669906,0.00002896683,0.009434865,0.00005366654,0.00004146685,0.0002393249,0.00008019384,0.9615961,0.002626746,0.002950808,0.000172231,0.02260855],"study_design_scores_gemma":[0.000004486388,0.00003370861,0.001577598,0.000004583927,0.000008821016,0.00003148953,0.00001133698,0.9966535,0.0006852528,0.0009097287,0.0000754194,0.000004129126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6008064,0.000192986,0.3951141,0.00008808443,0.00001040266,0.0001224532,0.0001117914,0.0003491841,0.00320466],"genre_scores_gemma":[0.9906872,0.00003237129,0.009053799,0.000004062994,0.000003283354,0.00001901366,0.0000453679,0.0000119493,0.0001429247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001892098,"threshold_uncertainty_score":0.009955466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712590334463535,"score_gpt":0.2448132684524766,"score_spread":0.2276873651078413,"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."}}