{"id":"W4320059725","doi":"10.1109/ropec55836.2022.10018821","title":"Optimal Sizing of a Stand-alone Renewable-Powered Hydrogen Fueling Station","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bio-Systems (Canada); Canadian Energy Research Institute; University of Calgary","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sizing; Renewable energy; Hydrogen storage; Hydrogen production; Hydrogen; Environmental science; Context (archaeology); Hydrogen fuel; Wind power; Computer science; Hydrogen economy; Process engineering; Automotive engineering; Engineering; Electrical engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200429,0.0009762504,0.001341776,0.0004317683,0.000550599,0.002064464,0.001717654,0.001777013,0.009588391],"category_scores_gemma":[0.0009361642,0.001055299,0.0008564232,0.0006135014,0.0006991626,0.001406504,0.0006634453,0.001375784,0.0009013721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317487,"about_ca_system_score_gemma":0.003182648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02485148,"about_ca_topic_score_gemma":0.0252756,"domain_scores_codex":[0.9996909,0.00007389049,0.000009651408,0.00008237218,0.00007201244,0.00007118419],"domain_scores_gemma":[0.9996831,0.0001456012,0.00005196812,0.0000146231,0.00005897663,0.00004565774],"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":[0.00001714688,0.00001115827,0.00008392962,0.00001507996,0.000005755394,0.00002603929,0.000005609779,0.9956213,0.0002389863,0.002775548,0.000210444,0.0009890199],"study_design_scores_gemma":[0.00001419734,0.00001671646,0.00007132164,0.000003153263,0.000005998319,0.000005473754,0.0000118884,0.9977685,0.0001338752,0.001539643,0.0004251199,0.00000415972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1354584,0.0005982742,0.7980472,0.001267168,0.0001851552,0.0004264708,0.002116827,0.0005773568,0.06132307],"genre_scores_gemma":[0.9245427,0.000413794,0.05022133,0.0001146135,0.00003500804,0.000370101,0.0005505241,0.00008887991,0.02366293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02485148,"threshold_uncertainty_score":0.04941362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049323436780106,"score_gpt":0.2422711878448769,"score_spread":0.2317779534770758,"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."}}