{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005384617,0.0006627767,0.0008162133,0.0004649947,0.0004760841,0.0007478331,0.0006868607,0.0008200723,0.001970341],"category_scores_gemma":[0.0009372499,0.0003315965,0.0006087784,0.0004302686,0.0003959077,0.0004806842,0.0005666693,0.0005390008,0.0001937897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005668735,"about_ca_system_score_gemma":0.0008473086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406342,"about_ca_topic_score_gemma":0.004861575,"domain_scores_codex":[0.9998583,0.00006229925,0.000006119069,0.00002238248,0.00002701279,0.00002391116],"domain_scores_gemma":[0.9997332,0.0001449884,0.00003492598,0.00001427747,0.00005107748,0.00002157983],"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":[0.00001719104,0.00001953879,0.0002948906,0.0000167716,0.0000196422,0.00002764761,0.00001709696,0.9907612,0.0004780612,0.001279763,0.0002277795,0.006840366],"study_design_scores_gemma":[0.000004919786,0.00001550055,0.00003982198,0.000002217749,0.000002688951,0.000004922718,0.00000474852,0.9991465,0.00009595867,0.0005421515,0.0001386495,0.00000191959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09151052,0.0005856055,0.8979663,0.0002569066,0.00005602045,0.0001101745,0.00006652142,0.0003652905,0.009082773],"genre_scores_gemma":[0.8670951,0.0002172494,0.1275364,0.0000909337,0.000014224,0.0002610877,0.000100033,0.00005070005,0.004634182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005406342,"threshold_uncertainty_score":0.01074976,"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."}}