{"id":"W4408378983","doi":"10.1051/e3sconf/202561901012","title":"Management and Control of a Fuel Cell, Solar Photovoltaic, and Battery Energy Storage System Linked to a DC Nano Grid","year":2025,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Photovoltaic system; Energy storage; Battery (electricity); Fuel cells; Grid; Automotive engineering; Solar cell; Electrical engineering; Photovoltaics; Battery storage; Computer science; Environmental science; Engineering; Power (physics); Physics","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":[0.0001915345,0.0002835539,0.0002549984,0.0001898463,0.0004195459,0.000813255,0.0003245197,0.0002921467,0.001778646],"category_scores_gemma":[0.0002189568,0.000124166,0.0001651454,0.0001919557,0.000332041,0.0003222441,0.0004072991,0.0002647142,0.0001856367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754938,"about_ca_system_score_gemma":0.0003937993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00574457,"about_ca_topic_score_gemma":0.005144119,"domain_scores_codex":[0.9999,0.00002313547,0.000007091734,0.00002541181,0.00002787574,0.0000165187],"domain_scores_gemma":[0.9998907,0.00003818878,0.00002312713,0.000009537669,0.00002466096,0.00001380985],"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":[0.0003566007,0.0001855653,0.00252838,0.0001634796,0.00004017596,0.0004152906,0.0001111629,0.9486442,0.01995089,0.005028188,0.0009515076,0.02162463],"study_design_scores_gemma":[0.00002432028,0.000189155,0.0009151034,0.000005992804,0.00001361219,0.00003328845,0.00005715051,0.993842,0.003312402,0.0008476526,0.0007526079,0.000006685992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8286117,0.0003701159,0.1373229,0.0004013449,0.00008522965,0.0002047175,0.0003432203,0.0004661431,0.03219449],"genre_scores_gemma":[0.9970952,0.00003588755,0.001524646,0.00001035715,0.000002566528,0.00002119281,0.00001373269,0.000003309278,0.001293151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00574457,"threshold_uncertainty_score":0.01142228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003487258987161473,"score_gpt":0.167634639628545,"score_spread":0.1641473806413835,"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."}}