{"id":"W4391923705","doi":"10.1109/oncon60463.2023.10430826","title":"Design Methodology of a Microgrid based on Hybrid Energy Sources","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":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Microgrid; Computer science; Energy (signal processing); Artificial intelligence; Mathematics; Statistics","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":[0.0005692027,0.0007574171,0.0004253081,0.0004572534,0.0003375719,0.0006994755,0.0008270344,0.0004116687,0.003254942],"category_scores_gemma":[0.0004137728,0.0003412493,0.0006204277,0.00030756,0.0003174138,0.0004610617,0.0006393669,0.0004350871,0.0005390872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909911,"about_ca_system_score_gemma":0.0007090427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180388,"about_ca_topic_score_gemma":0.001436364,"domain_scores_codex":[0.9996848,0.00009328862,0.00001697715,0.00005729089,0.0001265406,0.00002114987],"domain_scores_gemma":[0.9998825,0.00003303887,0.00002061171,0.00001201783,0.0000455164,0.000006278721],"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":[0.00004286248,0.00003811773,0.0005448301,0.0004865348,0.00007634157,0.0002082179,0.0001626743,0.8661582,0.01843985,0.02889815,0.0007930667,0.08415115],"study_design_scores_gemma":[0.00002508538,0.000155701,0.00021828,0.00005556091,0.0000378085,0.0001017609,0.00005584884,0.9739628,0.004888295,0.008281583,0.01220326,0.00001401348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00462305,0.0001119295,0.9900122,0.00003748377,0.00001723889,0.0001070144,0.00003801579,0.0001676961,0.004885311],"genre_scores_gemma":[0.4576072,0.000633708,0.5330167,0.00006077856,0.00003299044,0.0008858003,0.0001610362,0.0001139557,0.007487834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003254942,"threshold_uncertainty_score":0.01088887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343767318319492,"score_gpt":0.2223809152705886,"score_spread":0.1889432420873937,"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."}}