{"id":"W3199690294","doi":"10.1109/eurocon52738.2021.9535617","title":"Optimal Allocation of RDG in Distribution System Considering the Seasonal Uncertainties of Load Demand and Solar-Wind Generation Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Renewable energy; Particle swarm optimization; Wind power; Relay; Index (typography); Electric power system; Voltage; Mathematical optimization; Overcurrent; Reliability engineering; Power (physics); Automotive engineering; Engineering; Electrical engineering; Mathematics","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":[0.0004909096,0.0007116416,0.0007600344,0.0005902689,0.0003225413,0.001001091,0.000447492,0.0006439946,0.001019612],"category_scores_gemma":[0.0009583968,0.0003880358,0.0003062825,0.0006105254,0.0003554342,0.0007535158,0.0004604852,0.0004347382,0.000103844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185862,"about_ca_system_score_gemma":0.00100611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009811373,"about_ca_topic_score_gemma":0.009009183,"domain_scores_codex":[0.9996871,0.0001071289,0.000009607721,0.00006439056,0.00005892204,0.00007286693],"domain_scores_gemma":[0.9998017,0.00008664997,0.00004048943,0.000008798928,0.00003801795,0.00002435264],"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":[0.00002810089,0.00000912236,0.0002621021,0.00001231073,0.000009105673,0.00002533765,0.00001054097,0.9929698,0.0004746405,0.0008857482,0.0001436664,0.005169476],"study_design_scores_gemma":[0.000006369956,0.00001632123,0.0001959359,0.000001523769,0.000004149222,0.000005138255,0.00001066017,0.998637,0.0001803206,0.0007968952,0.000143857,0.00000182005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3466501,0.0008820987,0.6392012,0.0004880135,0.00005688735,0.0001321406,0.0002519557,0.0002585597,0.01207901],"genre_scores_gemma":[0.9821818,0.0001353929,0.01589045,0.00001896165,0.000009251232,0.00003567479,0.00004875654,0.00001785977,0.00166179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009811373,"threshold_uncertainty_score":0.01950854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145235444778124,"score_gpt":0.203547009248545,"score_spread":0.1920946548007637,"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."}}