{"id":"W2117627291","doi":"10.1109/epec.2010.5697191","title":"Dynamic modeling and simulation of a remote wind-diesel-hydrogen hybrid power system","year":2010,"lang":"en","type":"article","venue":"","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Diesel generator; Wind power; Automotive engineering; Renewable energy; Computer science; Hybrid system; Hybrid power; Modeling and simulation; Diesel fuel; Power (physics); Engineering; Simulation; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002085386,0.0005341134,0.0008247481,0.0004306599,0.0006189885,0.0008653768,0.0007969319,0.001031297,0.005669857],"category_scores_gemma":[0.0003851104,0.0003397273,0.0006557107,0.0003890275,0.0004428648,0.0006251729,0.0004742088,0.0006614103,0.0005020265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006817908,"about_ca_system_score_gemma":0.0006201424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03014349,"about_ca_topic_score_gemma":0.01633375,"domain_scores_codex":[0.9998764,0.00003721485,0.000007607451,0.00002143695,0.00003259514,0.00002482019],"domain_scores_gemma":[0.9997945,0.0001000508,0.00002691059,0.00001336087,0.00004557243,0.00001958586],"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":[0.00004035465,0.00001845755,0.0004165852,0.00001897015,0.00001040101,0.00009809617,0.00002580381,0.9966379,0.0008124796,0.0006737328,0.0001866089,0.001060519],"study_design_scores_gemma":[0.00001015275,0.00002100967,0.0002054908,0.000002469153,0.000004613908,0.000009269232,0.00001188577,0.9991202,0.0002046703,0.0001760608,0.0002307966,0.00000354336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6791111,0.000525403,0.2053509,0.0008494381,0.0001449652,0.0002353666,0.002466504,0.002378718,0.1089376],"genre_scores_gemma":[0.9873964,0.0001457662,0.004749617,0.00003938318,0.000009501489,0.000107673,0.000440939,0.00004140307,0.007069323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03014349,"threshold_uncertainty_score":0.05993611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008018798662316902,"score_gpt":0.2281718144288071,"score_spread":0.2201530157664902,"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."}}