{"id":"W4405962862","doi":"10.1109/iccais63750.2024.10814392","title":"Modeling of Hybrid Power Systems Combining Grid-Following and Grid-Forming Inverters Using Energetic Macroscopic Representation","year":2024,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grid; Representation (politics); Computer science; Power grid; Power (physics); Distributed computing; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001529839,0.0001486667,0.0002254078,0.0001762481,0.00006126078,0.0001447487,0.00005876673,0.00003974425,0.00000914483],"category_scores_gemma":[0.00001205039,0.0001459957,0.0000674461,0.0001807117,0.00001259328,0.0004002111,0.00002999098,0.00009384444,0.000001852131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005653091,"about_ca_system_score_gemma":0.00001596562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002091186,"about_ca_topic_score_gemma":0.000002654678,"domain_scores_codex":[0.9990644,0.00001966635,0.0003678779,0.0002031066,0.0001401991,0.0002047007],"domain_scores_gemma":[0.9997406,0.00003534217,0.00002136147,0.0001242845,0.00002662173,0.00005178112],"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":[0.000002380007,0.000002606924,0.0002074685,0.000211942,0.00007320158,0.00001179938,0.0003072837,0.9738098,0.02469124,0.0001090052,0.00004479834,0.0005284516],"study_design_scores_gemma":[0.0002324237,0.00001104933,0.000005438372,0.0003578545,0.00005597074,0.00002315921,0.0003546826,0.9949581,0.003790943,0.00002698339,0.00003191459,0.0001514854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6182994,0.005730796,0.373208,0.000008089669,0.002021535,0.0001348409,0.000004857487,0.0002500103,0.0003425291],"genre_scores_gemma":[0.9977052,0.0001874327,0.001942419,0.00001144137,0.00006757568,0.000007144026,0.00001754746,0.00003980109,0.00002147711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3794058,"threshold_uncertainty_score":0.5953532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115304348616515,"score_gpt":0.2274778745447604,"score_spread":0.2159474396831089,"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."}}