{"id":"W3215766209","doi":"10.18280/ejee.230503","title":"Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Grid; Wind power; Stability (learning theory); Electricity generation; Variable renewable energy; Environmental science; Greenhouse gas; Fossil fuel; Computer science; Scale (ratio); Electric power system; Reliability (semiconductor); Power (physics); Reliability engineering; Environmental economics; Engineering; Mathematics; Electrical engineering; Economics; Geography","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":[0.0006315536,0.0006193778,0.000580103,0.0003554325,0.0004584612,0.000913515,0.0005189783,0.0006652229,0.0009801134],"category_scores_gemma":[0.001361673,0.0003039003,0.0007585714,0.0003152286,0.0007090346,0.0005521183,0.0005821885,0.0008499168,0.0001135191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007420148,"about_ca_system_score_gemma":0.0007497207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01799376,"about_ca_topic_score_gemma":0.009071692,"domain_scores_codex":[0.9997757,0.00009815065,0.000007635627,0.00003519856,0.00004753104,0.00003572106],"domain_scores_gemma":[0.9994173,0.0003232083,0.0001093583,0.0000169481,0.0001040322,0.00002918158],"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":[0.0000147901,0.000005224938,0.0004000918,0.00001169846,0.0000134292,0.00005191642,0.00002231642,0.9947154,0.000419529,0.003667224,0.0001087236,0.0005696849],"study_design_scores_gemma":[6.633147e-7,0.000003238926,0.00009517842,9.103606e-7,0.000001312548,0.000002519824,0.00000434962,0.9993392,0.00002476897,0.0004990999,0.00002764079,0.000001172236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3461682,0.0008195808,0.6333482,0.0008495347,0.00007972668,0.00007671086,0.0002223235,0.0002664837,0.01816921],"genre_scores_gemma":[0.9937088,0.0001993276,0.003168357,0.00001696781,0.00001576771,0.00003591664,0.00006861355,0.00001781343,0.002768449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01799376,"threshold_uncertainty_score":0.03577805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005191866355768935,"score_gpt":0.1701394304751511,"score_spread":0.1649475641193822,"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."}}