{"id":"W2037391976","doi":"10.1109/epec.2014.51","title":"Quantifying System Adequacy Benefit of Wind Power Diversity","year":2014,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Renewable energy; Electric power system; Electricity generation; Diversification (marketing strategy); Environmental science; Electric power; Reliability (semiconductor); Distributed generation; Environmental economics; Wind speed; Automotive engineering; Reliability engineering; Power (physics); Engineering; Meteorology; Electrical engineering; Business; Geography; Economics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000828261,0.0002788186,0.0002828117,0.0006136941,0.0001888678,0.0005116808,0.0002214998,0.0002909667,0.0007909713],"category_scores_gemma":[0.005179789,0.0001543519,0.0001989434,0.0006115303,0.0003553117,0.000689443,0.000569046,0.0002543755,0.00006701398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071189,"about_ca_system_score_gemma":0.000544474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01862568,"about_ca_topic_score_gemma":0.03014702,"domain_scores_codex":[0.9995477,0.0001749444,0.00002782964,0.00006321526,0.0001105277,0.00007571997],"domain_scores_gemma":[0.9972954,0.001730348,0.0003116757,0.0002313705,0.0003488589,0.000082358],"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":[0.0003890394,0.00004830561,0.2063361,0.0000535751,0.0001934015,0.0003922237,0.0001187406,0.7614486,0.008505527,0.0028482,0.000238949,0.01942734],"study_design_scores_gemma":[0.00003337792,0.0004294429,0.3557995,0.00002158945,0.0001263,0.0002821765,0.0005232104,0.6321345,0.006070368,0.003799812,0.0007444142,0.00003531313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942299,0.0000479824,0.003459772,0.00004297485,0.000001961514,0.00002168815,0.0002157572,0.00001982274,0.001960004],"genre_scores_gemma":[0.9996359,0.000007630751,0.0002326256,0.000003279705,5.556636e-7,0.000002193806,0.00005558406,0.000001609504,0.00006059288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01862568,"threshold_uncertainty_score":0.03703451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424753122661498,"score_gpt":0.1956667649820845,"score_spread":0.1814192337554695,"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."}}