{"id":"W4392942907","doi":"10.1109/icetsis61505.2024.10459405","title":"Distributed Energy Sources Management using Shuffled Frog-Leaping Algorithm for Optimizing the Environmental and Economic Indices of Smart Microgrid","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microgrid; Computer science; Distributed generation; Energy management; Energy (signal processing); Algorithm; Distributed computing; Engineering; Artificial intelligence; Electrical engineering; Renewable energy; Mathematics; Control (management); 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":[0.0001547242,0.0001937747,0.0001780101,0.0001302346,0.00009375636,0.0001218977,0.0001605408,0.00004325381,0.00005584611],"category_scores_gemma":[5.37388e-7,0.0001610592,0.00008186344,0.0000567775,0.00006454443,0.0001401478,0.0001640413,0.00005519213,0.000003586426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149163,"about_ca_system_score_gemma":0.000003976344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008546693,"about_ca_topic_score_gemma":0.00002066214,"domain_scores_codex":[0.9991214,0.00001344823,0.0002747193,0.0002480356,0.00008498717,0.0002574378],"domain_scores_gemma":[0.9996774,0.0000747739,0.00003188832,0.0001734699,0.000002033131,0.00004049538],"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":[0.00001327165,0.00003286967,0.000407753,0.0004400073,0.002012784,0.00001627681,0.0004058243,0.8330337,0.004379326,0.003536388,0.001932666,0.1537891],"study_design_scores_gemma":[0.0002566935,0.00002137544,0.0002235106,0.00005451988,0.0001411578,0.000005807121,0.0006571981,0.9431723,0.00989387,0.00005943381,0.04531419,0.0001999044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3152431,0.00680297,0.6752012,0.00009174069,0.001065351,0.000386716,0.0001617523,0.0003519388,0.0006951754],"genre_scores_gemma":[0.9547833,0.001377647,0.04313966,0.00004837083,0.0002396908,0.00009217279,0.00009347856,0.00007966479,0.0001460417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6395402,"threshold_uncertainty_score":0.6567803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006820541349946087,"score_gpt":0.1870593331736094,"score_spread":0.1802387918236633,"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."}}