{"id":"W2096720283","doi":"10.1109/tpwrs.2005.846114","title":"An Integrated Distributed Generation Optimization Model for Distribution System Planning","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":519,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distributed generation; Planner; Sizing; Key (lock); Engineering; Purchasing; Mathematical optimization; Operations research; Computer science; Operations management; Renewable energy","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":[0.0006580235,0.000886823,0.0007890077,0.0004004446,0.0003131993,0.001137202,0.0015299,0.00107785,0.004201635],"category_scores_gemma":[0.001166882,0.0004737042,0.0007805121,0.0009322837,0.0004391387,0.001335891,0.0008525038,0.001495551,0.000761894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000157,"about_ca_system_score_gemma":0.001199795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005218695,"about_ca_topic_score_gemma":0.006379438,"domain_scores_codex":[0.9995707,0.0001427523,0.00001869543,0.00008247074,0.000142627,0.00004271097],"domain_scores_gemma":[0.9997382,0.0001323609,0.00002866773,0.00002137397,0.00006187578,0.00001756915],"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":[0.00001277437,0.00001731133,0.00009744056,0.0000204946,0.00001430321,0.00003580989,0.00001575806,0.9659373,0.0002180542,0.0251921,0.000763386,0.007675383],"study_design_scores_gemma":[0.000005632316,0.000007737237,0.00002460993,0.000003051567,0.000004942085,0.000007736293,0.000002680149,0.991982,0.00005842621,0.006282239,0.001618401,0.000002501657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003648501,0.0002409053,0.9870204,0.000228228,0.00004747016,0.00003525389,0.0001997183,0.0001707512,0.008408875],"genre_scores_gemma":[0.5345442,0.001434122,0.4349856,0.0002330959,0.0001676703,0.0006850194,0.001123818,0.0002057651,0.02662067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005218695,"threshold_uncertainty_score":0.01405585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855010994245831,"score_gpt":0.2392403889112767,"score_spread":0.2206902789688184,"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."}}