{"id":"W2124602339","doi":"10.1243/1748006xjrr249","title":"Effect of hourly wind trends on the peak load-carrying capability of wind-integrated power systems","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Turbine; Power (physics); Automotive engineering; Environmental science; Marine engineering; Electric power system; Engineering; Meteorology; Electrical engineering; Mechanical 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":[0.00151512,0.0002972103,0.0002792216,0.000380049,0.0002563408,0.0006126343,0.0002227139,0.0003831641,0.0006513179],"category_scores_gemma":[0.005567636,0.0002325622,0.0002786918,0.0004515581,0.0002656182,0.000622299,0.0002239726,0.0004429824,0.00009925357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158691,"about_ca_system_score_gemma":0.0001432293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412977,"about_ca_topic_score_gemma":0.003047444,"domain_scores_codex":[0.9996996,0.000105802,0.00002566407,0.00003451602,0.00008330915,0.00005119705],"domain_scores_gemma":[0.9939718,0.004213435,0.0008262028,0.0003202209,0.0004731547,0.0001952296],"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":[0.002349472,0.0003099552,0.3248227,0.0001570293,0.000291661,0.001884753,0.0002740511,0.6196345,0.01767461,0.001171952,0.0007864439,0.03064289],"study_design_scores_gemma":[0.0000306688,0.001225291,0.6519254,0.0000267823,0.0001267096,0.0005507252,0.0003767248,0.3367899,0.007860526,0.0006183643,0.0004178247,0.00005119929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984304,0.00004182465,0.0008263416,0.00002690041,0.000005808746,0.000005952965,0.0001292514,0.00002038209,0.000513],"genre_scores_gemma":[0.9996754,0.00002018388,0.0001431504,0.000004361162,0.000002889956,0.000001692375,0.00008558931,0.000003775013,0.00006308746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002412977,"threshold_uncertainty_score":0.008012831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004627208618187897,"score_gpt":0.1989629052592251,"score_spread":0.1943356966410372,"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."}}