{"id":"W4297809194","doi":"10.1109/iecon49645.2022.9968453","title":"Optimal sizing and real-time EMS for low carbon emissions of a hybrid islanded microgrid","year":2022,"lang":"en","type":"article","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Angers Loire Métropole","keywords":"Microgrid; Sizing; Integer programming; Computer science; Diesel generator; Energy management; Automotive engineering; Linear programming; Operating cost; Mathematical optimization; Reliability engineering; Diesel fuel; Energy (signal processing); Engineering; Renewable energy; Electrical engineering; Algorithm","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":[0.0002520757,0.0006084287,0.0005515826,0.0002646622,0.0003179683,0.0008067956,0.0004222228,0.0004385664,0.003569184],"category_scores_gemma":[0.0004422234,0.0002471179,0.0002626427,0.0002122348,0.0003157682,0.0003440601,0.0003187781,0.0003538804,0.0002044281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930024,"about_ca_system_score_gemma":0.0006166488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004852563,"about_ca_topic_score_gemma":0.008608879,"domain_scores_codex":[0.9999,0.00003718671,0.000004391326,0.00002000769,0.00001778791,0.00002064427],"domain_scores_gemma":[0.9998574,0.00006593682,0.00002463428,0.00001029247,0.00002966172,0.00001192009],"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":[0.0001376615,0.00005138749,0.0002153509,0.00004489421,0.00002526668,0.00006875778,0.00003985764,0.9749051,0.006156546,0.002099314,0.0006967258,0.01555914],"study_design_scores_gemma":[0.00001208725,0.00005112793,0.0001641177,0.000002304023,0.000009985653,0.000008789537,0.00001685091,0.9980966,0.0006972669,0.0007632631,0.0001749298,0.000002540984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4530406,0.0003729499,0.5028754,0.0006636359,0.0001092133,0.0001928143,0.0002718316,0.001108054,0.04136547],"genre_scores_gemma":[0.9897432,0.00002173675,0.008265013,0.0000168645,0.000006064836,0.0000195521,0.00002031044,0.00001596784,0.001891302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004852563,"threshold_uncertainty_score":0.01194012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133573029876833,"score_gpt":0.2010298951868156,"score_spread":0.1896941648880472,"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."}}