{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002208707,0.00008443926,0.0001457674,0.0001588726,0.00001619874,0.000007055229,0.0000795144,0.00003533312,0.0001176968],"category_scores_gemma":[0.00002326686,0.00007431774,0.00004499706,0.0001888534,0.00001435647,0.00001950718,0.000008499936,0.00003479676,0.00002750425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008790055,"about_ca_system_score_gemma":0.000008747915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001936024,"about_ca_topic_score_gemma":0.000002687877,"domain_scores_codex":[0.9994808,0.00007657967,0.0001377549,0.00009625377,0.00005800772,0.0001505938],"domain_scores_gemma":[0.9995176,0.0002959399,0.00001796469,0.0001212203,0.0000207332,0.00002654908],"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":[0.00002039773,0.000006883921,0.00001243049,0.00001189146,0.000018972,0.000003138475,0.00002088506,0.9214247,0.03675631,0.00009724291,0.003149063,0.03847806],"study_design_scores_gemma":[0.0002203315,0.00003910615,0.00002663119,0.000004776832,0.000007391105,9.766993e-7,0.000008584234,0.7528951,0.2431955,0.00009016236,0.00344725,0.00006413269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005370993,0.0003030803,0.9927961,0.00008654518,0.0001546119,0.0000573174,0.000004140989,0.0004723954,0.000754764],"genre_scores_gemma":[0.8414914,0.000546594,0.1567875,0.0004725906,0.0001264239,0.00004736175,0.00005622193,0.00006633483,0.0004055334],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8361204,"threshold_uncertainty_score":0.303059,"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."}}