{"id":"W4313562797","doi":"10.1109/epec56903.2022.10000166","title":"Grey Wolf Optimizer for Optimal Distribution Network Reconfiguration","year":2022,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Clair College","funders":"","keywords":"Control reconfiguration; Mathematical optimization; Particle swarm optimization; Genetic algorithm; Voltage; Power (physics); Computer science; Reduction (mathematics); Path (computing); AC power; Constraint (computer-aided design); Electric power system; Topology (electrical circuits); Engineering; Algorithm; Mathematics; Electrical engineering; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006118676,0.0007322674,0.0008034314,0.0004502336,0.0002382719,0.0006505669,0.0003613512,0.0007607971,0.002268696],"category_scores_gemma":[0.001078545,0.0003295232,0.0004438749,0.0005216554,0.0004569536,0.000434495,0.0004409828,0.0007380539,0.0002645169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003125,"about_ca_system_score_gemma":0.0007806378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759183,"about_ca_topic_score_gemma":0.002786345,"domain_scores_codex":[0.9997858,0.00008332071,0.00001001548,0.00003453802,0.00005336692,0.000032949],"domain_scores_gemma":[0.9997837,0.0001415825,0.0000226381,0.00001019366,0.00003104444,0.0000109609],"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":[0.0000280773,0.0000138815,0.0001315882,0.00003142182,0.0000190668,0.00003555018,0.00001900115,0.9766614,0.0007833457,0.003299954,0.000490114,0.01848668],"study_design_scores_gemma":[0.000005975585,0.00001448663,0.00004101509,0.000002310815,0.000002503545,0.000004440568,0.000003000366,0.9985837,0.0001341123,0.0009940404,0.0002131805,0.000001328688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02927279,0.0005588858,0.9613537,0.0002189111,0.00006199983,0.0000672586,0.00005042926,0.0003502064,0.008065832],"genre_scores_gemma":[0.8284529,0.0003742482,0.164395,0.0001295198,0.00003685813,0.0002161679,0.0001269907,0.0001012537,0.006167086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003759183,"threshold_uncertainty_score":0.007589579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00907337733553672,"score_gpt":0.2068811698454677,"score_spread":0.197807792509931,"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."}}