{"id":"W4402474875","doi":"10.1109/ccece59415.2024.10667098","title":"A Real–World Case Study for Smoothing Wind Power Output Using Flywheel Energy Storage","year":2024,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Independent Electricity System Operator; York University","funders":"Independent Electricity System Operator","keywords":"Flywheel; Wind power; Flywheel energy storage; Smoothing; Energy storage; Power (physics); Computer science; Energy (signal processing); Automotive engineering; Environmental science; Electrical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003186644,0.0002643517,0.000315361,0.0003211203,0.00009337243,0.0002410379,0.0001204566,0.00007097534,0.00005205951],"category_scores_gemma":[0.00001612312,0.000239483,0.0001285225,0.0002914469,0.000009132311,0.0002595053,0.00004052552,0.000151221,0.00001362624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469214,"about_ca_system_score_gemma":0.00003821724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003858367,"about_ca_topic_score_gemma":0.0020395,"domain_scores_codex":[0.9986931,0.00003657698,0.0003753402,0.0003336043,0.000179759,0.0003816093],"domain_scores_gemma":[0.999321,0.000164749,0.00002118583,0.0003408303,0.00004181764,0.0001103821],"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":[0.0001361096,0.0008056802,0.005040383,0.002571508,0.005744191,0.07158606,0.03997387,0.7332255,0.03742045,0.02646883,0.05337876,0.02364866],"study_design_scores_gemma":[0.0009674813,0.0001078408,0.0001081604,0.0001129364,0.0001413118,0.0006785915,0.002426041,0.9640543,0.0001553133,0.00005420359,0.03065491,0.0005388912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995045,0.000903436,0.07853813,0.00004234588,0.003398068,0.0008759202,0.00002603344,0.00166529,0.01504624],"genre_scores_gemma":[0.9918547,9.536321e-7,0.0007338384,0.00002650218,0.0005654133,0.00004515989,0.000002547175,0.0001330569,0.006637772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2308288,"threshold_uncertainty_score":0.9765834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237005649282079,"score_gpt":0.2595750566893604,"score_spread":0.2372050001965396,"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."}}