{"id":"W4381571318","doi":"10.23977/jeeem.2023.060210","title":"Research on power fluctuation matching control of large-scale wind power hydrogen production system based on multi-factor cyclic queue method","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrogen production; Renewable energy; Wind power; Power to gas; Power (physics); Environmental science; Process engineering; Computer science; Automotive engineering; Hydrogen; Engineering; Electrolysis; Electrical engineering; Electrolyte; Thermodynamics; Physics","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":[0.000627418,0.000552455,0.0005236983,0.0002516276,0.0004283836,0.0007111483,0.0008004534,0.0003228638,0.001341521],"category_scores_gemma":[0.0008954185,0.0001809603,0.0004740664,0.0003488345,0.0003355127,0.0007357982,0.000388937,0.0004701172,0.00007547429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005956641,"about_ca_system_score_gemma":0.0007868569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007948974,"about_ca_topic_score_gemma":0.004332648,"domain_scores_codex":[0.9997155,0.00004899238,0.00001813585,0.00007789682,0.00009062632,0.00004891955],"domain_scores_gemma":[0.9996661,0.0001212777,0.00005060565,0.00001386453,0.000114728,0.00003334157],"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":[0.0001783836,0.0001054576,0.001639522,0.0001930463,0.00007361411,0.00009723534,0.0001115862,0.9147736,0.009965195,0.01255922,0.00101596,0.05928707],"study_design_scores_gemma":[0.000008335317,0.00004137186,0.0001424857,0.000001174301,0.000005688764,0.00000476489,0.000005551565,0.9987698,0.000339007,0.0005287347,0.0001501133,0.000002955156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05319715,0.0006029147,0.9424539,0.0001655024,0.0001277384,0.00005463541,0.0000254427,0.0001873786,0.003185324],"genre_scores_gemma":[0.9875906,0.0002364621,0.01112361,0.0000287681,0.0000284053,0.00002996312,0.00002158465,0.00001221054,0.0009285148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007948974,"threshold_uncertainty_score":0.01580536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136855650280221,"score_gpt":0.2762883458586123,"score_spread":0.2649197893558101,"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."}}