{"id":"W3010250576","doi":"10.1109/icaee47123.2019.9014662","title":"Optimal Integration of Renewable Distributed Generation in Practical Distribution Grids based on Moth-Flame optimization Algorithm","year":2019,"lang":"en","type":"article","venue":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Sizing; Distributed generation; Photovoltaic system; Computer science; Renewable energy; Mathematical optimization; Power (physics); Algorithm; Optimization algorithm; Stability (learning theory); Turbine; Automotive engineering; Engineering; Mathematics; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002212228,0.0003575175,0.0003583676,0.0003255112,0.00002761256,0.00007486041,0.0002431868,0.0002442036,0.0001826204],"category_scores_gemma":[0.0003748818,0.0003865246,0.0001024661,0.0006311753,0.00002522796,0.0004879944,0.00002372247,0.0005601749,0.00005484929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009718822,"about_ca_system_score_gemma":0.0000872646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001671713,"about_ca_topic_score_gemma":0.000002446792,"domain_scores_codex":[0.9978533,0.00004410887,0.0006201458,0.000451201,0.000613609,0.0004176787],"domain_scores_gemma":[0.9989935,0.000140581,0.0001307388,0.0003005038,0.0003198726,0.0001147687],"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":[0.0001543908,0.0001677691,0.00003106127,0.00001394123,0.00002190046,0.000003768179,0.000008988299,0.9618641,0.02889318,0.005625933,0.0003834396,0.002831554],"study_design_scores_gemma":[0.001065508,0.0004487051,0.0004956681,0.0001194909,0.00001112454,0.000003429237,0.000006200747,0.9630077,0.03407047,0.00003015534,0.0003960366,0.0003454415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0344502,0.00002198023,0.9626999,0.000282813,0.0007475151,0.0004562931,0.0004720356,0.0002401555,0.0006290759],"genre_scores_gemma":[0.9590153,0.00006941888,0.03410813,0.00002487885,0.0001072951,0.00006109226,0.006505284,0.00004677326,0.00006190709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9285918,"threshold_uncertainty_score":0.9998587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141810857412042,"score_gpt":0.2510314696368036,"score_spread":0.2396133610626831,"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."}}