{"id":"W4246324910","doi":"10.32920/ryerson.14653368.v1","title":"Power management of a grid-connected distributed energy resource system","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Energy storage; Renewable energy; Grid; Wind power; Distributed generation; Software; Graphical user interface; Electric power system; MATLAB; Intermittent energy source; Grid energy storage; Automotive engineering; Energy management; Power (physics); Electrical engineering; Energy (signal processing); Engineering; Operating system","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":[0.00006689328,0.0002328467,0.000376408,0.00008052815,0.00001770891,0.00005410461,0.0002072645,0.0002044135,0.0001762302],"category_scores_gemma":[0.000002734022,0.0002323868,0.0001410995,0.0001707222,0.000009773963,0.00002339129,0.0002740836,0.0001447899,0.000002726727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177412,"about_ca_system_score_gemma":0.00001182575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000476567,"about_ca_topic_score_gemma":0.000008629802,"domain_scores_codex":[0.9989589,0.00003300886,0.0003962991,0.0002674269,0.0001551654,0.0001892072],"domain_scores_gemma":[0.9992779,0.00001558269,0.00007508802,0.000491415,0.00008778272,0.00005219299],"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":[0.00001355064,0.00002715786,0.00000834107,0.001803339,0.0007915261,0.00005813701,0.0000717949,0.9885516,0.0002701118,0.002803977,0.00395137,0.001649073],"study_design_scores_gemma":[0.001067993,0.00001923071,0.0004500018,0.00181255,0.000292166,0.00001329205,0.001618347,0.9564972,0.0047762,0.00002062804,0.03264162,0.0007907626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008209557,0.007038839,0.9295292,0.00005176821,0.001459776,0.0004036556,0.0003266862,0.001432576,0.05154792],"genre_scores_gemma":[0.9935521,0.0004354598,0.003580948,0.00001530305,0.00007569637,0.0000704964,0.001921129,0.00005226058,0.0002965649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9853426,"threshold_uncertainty_score":0.9476458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00311888505210293,"score_gpt":0.1589797896506624,"score_spread":0.1558609045985594,"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."}}