{"id":"W4387006223","doi":"10.1109/pesgm52003.2023.10252951","title":"Dynamic Analysis of a Conceptual McMaster University Campus Microgrid","year":2023,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microgrid; Photovoltaic system; Diesel generator; Computer science; Transient (computer programming); Grid; Electric power system; Resilience (materials science); Reliability engineering; Energy storage; Electricity; Automotive engineering; Power (physics); Engineering; Renewable energy; Electrical engineering; Diesel fuel","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":[0.0001251467,0.0003668698,0.0002958776,0.0003396722,0.0005386953,0.0007803467,0.0005481769,0.0004781687,0.005590723],"category_scores_gemma":[0.0003666256,0.0001781784,0.000354222,0.0004223148,0.0006669682,0.0004405515,0.0006194527,0.0003070005,0.0003410074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169311,"about_ca_system_score_gemma":0.0008902645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04212674,"about_ca_topic_score_gemma":0.03051873,"domain_scores_codex":[0.9999094,0.00001939045,0.000002846716,0.00001814618,0.00002083174,0.00002928892],"domain_scores_gemma":[0.9999219,0.00001945812,0.00001247676,0.00001154708,0.00002248253,0.00001205617],"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":[0.0001073613,0.00001637612,0.001368905,0.00004065904,0.00001528846,0.0002709033,0.00007577708,0.9776303,0.00564867,0.008461684,0.0007960589,0.005568029],"study_design_scores_gemma":[0.00001786596,0.0000622699,0.00194473,0.000007354922,0.00001184276,0.00004811561,0.0001843883,0.9932443,0.001187156,0.001837736,0.001440675,0.00001361018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8351842,0.0002129189,0.07922525,0.0004337333,0.00004123738,0.0001639102,0.0008973378,0.0004452155,0.08339616],"genre_scores_gemma":[0.996561,0.00003889554,0.001211075,0.00001595427,0.00000172117,0.00001768243,0.00008572378,0.00001030718,0.002057741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04212674,"threshold_uncertainty_score":0.08376306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004271282019104607,"score_gpt":0.1741261454980461,"score_spread":0.1698548634789415,"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."}}