{"id":"W4292411803","doi":"10.1016/j.ijhydene.2022.07.136","title":"Two-stage model predictive control for a hydrogen-based storage system paired to a wind farm towards green hydrogen production for fuel cell electric vehicles","year":2022,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fuel Cells and Hydrogen Joint Undertaking","keywords":"Hydrogen storage; Hydrogen production; Fuel cells; Stage (stratigraphy); Hydrogen; Automotive engineering; Production (economics); Environmental science; Hydrogen fuel; Computer science; Process engineering; Chemistry; Engineering; Chemical engineering; Biology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005695541,0.0008094985,0.0008147377,0.0002099073,0.0006010747,0.001226838,0.0009323877,0.0008172204,0.002269199],"category_scores_gemma":[0.0004851369,0.0004329036,0.0006378058,0.0002216496,0.0005122381,0.0005058672,0.0009283499,0.001169812,0.0003003514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005330559,"about_ca_system_score_gemma":0.0009552954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009138513,"about_ca_topic_score_gemma":0.009611359,"domain_scores_codex":[0.9996696,0.00006307289,0.00001494437,0.00009223713,0.00009947507,0.00006079728],"domain_scores_gemma":[0.9997686,0.0000773077,0.00004613296,0.00001757196,0.00006934207,0.00002108136],"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":[0.0002345845,0.0001020501,0.0004943798,0.0001454995,0.00006801779,0.000160011,0.00006597058,0.9711801,0.007860615,0.001873648,0.0005225946,0.01729258],"study_design_scores_gemma":[0.00002008986,0.0001278007,0.000167205,0.000004810662,0.00001287941,0.000007041948,0.000008092512,0.9982419,0.0008788017,0.0002283227,0.000298888,0.000004150718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1582203,0.0007223397,0.819023,0.0005021709,0.0003346462,0.0002366193,0.0001564754,0.001021173,0.01978329],"genre_scores_gemma":[0.9888672,0.00008242956,0.008488555,0.00003603255,0.00001969513,0.00008285713,0.00004256667,0.00001010215,0.002370663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009138513,"threshold_uncertainty_score":0.01817065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330220114243411,"score_gpt":0.2337456078878531,"score_spread":0.220443406745419,"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."}}