{"id":"W2061895839","doi":"10.6000/1929-6002.2014.03.03.6","title":"Transmission System Operation Challenges with Large Wind Penetration","year":2014,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Wind power; Incentive; Electric power system; Transmission system; Engineering; Market penetration; Environmental science; Penetration (warfare); Computer science; Telecommunications; Electrical engineering; Transmission (telecommunications); Operations research; Power (physics); Economics","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":[0.0007082587,0.0004780602,0.0005136981,0.0002594707,0.0005110441,0.001140196,0.0005145418,0.0007951455,0.005159193],"category_scores_gemma":[0.002260381,0.0003320685,0.0002923272,0.0004515964,0.0003062209,0.001423163,0.0004659957,0.001294826,0.0006132722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005686325,"about_ca_system_score_gemma":0.0003889463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005901192,"about_ca_topic_score_gemma":0.006557766,"domain_scores_codex":[0.9994861,0.0001847181,0.00003319436,0.00008528177,0.0001439953,0.00006658609],"domain_scores_gemma":[0.9986187,0.000807682,0.000178137,0.00005666055,0.0002786239,0.00006023678],"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":[0.0002170445,0.000124745,0.01257412,0.0005542833,0.0001594606,0.004364735,0.0005485693,0.8530608,0.01413487,0.01982863,0.01882175,0.07561108],"study_design_scores_gemma":[0.0000665902,0.0004265825,0.0216975,0.0001210832,0.0001110504,0.003185944,0.001982657,0.9204738,0.003621787,0.03115275,0.01705114,0.000109275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6460603,0.004024032,0.2543409,0.009252127,0.0005372764,0.0002031416,0.001534075,0.001151628,0.08289648],"genre_scores_gemma":[0.9916088,0.0006500288,0.004786197,0.000195612,0.0001171631,0.00002507473,0.0001619239,0.00004953333,0.002405707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005901192,"threshold_uncertainty_score":0.01725924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004939244220721082,"score_gpt":0.1879162090778561,"score_spread":0.182976964857135,"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."}}