{"id":"W3009175844","doi":"10.3390/en13051067","title":"Optimal Inertia Reserve and Inertia Control Strategy for Wind Farms","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Inertia; Wind power; Turbine; Control theory (sociology); Grid; Engineering; Computer science; Automotive engineering; Control (management); Electrical engineering; Mathematics; Mechanical engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007987441,0.0001955658,0.0003032027,0.00004193664,0.0000437822,0.0000856714,0.0001442206,0.0000897457,0.00001514435],"category_scores_gemma":[0.00007457164,0.0001741923,0.00006157324,0.00009362375,0.00002993345,0.0001736716,0.00002734361,0.0001096525,0.000008871313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001646248,"about_ca_system_score_gemma":0.0000147625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003839747,"about_ca_topic_score_gemma":0.00002102837,"domain_scores_codex":[0.9991285,0.00002190421,0.0002540149,0.0002057031,0.000105569,0.0002842797],"domain_scores_gemma":[0.9995589,0.0000953065,0.00003027172,0.0001454613,0.00004242823,0.0001275883],"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":[0.00007769463,0.000005051908,0.001034257,0.000120146,0.0001186835,0.000009895843,0.000337607,0.9644146,0.02763963,0.0005768954,0.005068191,0.0005973341],"study_design_scores_gemma":[0.005961899,0.0004082887,0.007242819,0.00004641679,0.0000919743,0.00001471122,0.0005131018,0.9322525,0.00940395,0.00009185258,0.04329637,0.0006761616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908636,0.003577551,0.002635688,0.0008894894,0.0002388935,0.0003433121,0.00005478446,0.0004226983,0.0009739343],"genre_scores_gemma":[0.9986658,0.00001531488,0.0003241221,0.0001361924,0.0006099698,0.00005417738,0.00001384226,0.00005112826,0.0001294823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03822818,"threshold_uncertainty_score":0.7103356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786050462559732,"score_gpt":0.2098420503267809,"score_spread":0.1919815457011836,"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."}}