{"id":"W2629831979","doi":"10.1109/ccece.2017.7946600","title":"Linearized power flow for stochastic optimization","year":2017,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematical optimization; Economic dispatch; Computer science; Electric power system; Computation; Linear programming; Piecewise linear function; Power (physics); Iterative method; Piecewise; Power flow; Stochastic programming; AC power; Control theory (sociology); Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009677377,0.00009519007,0.0001160402,0.00005051699,0.0001541104,0.0001306479,0.0001572622,0.00006950138,0.0001054439],"category_scores_gemma":[0.0001607268,0.00009333273,0.00003735864,0.00003551984,0.000009474095,0.0002128859,0.00001290634,0.00003980292,0.00002270445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003929482,"about_ca_system_score_gemma":0.00001159477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003038548,"about_ca_topic_score_gemma":0.000003005305,"domain_scores_codex":[0.9994975,0.000004658404,0.0001445151,0.0001096383,0.00007577255,0.0001679357],"domain_scores_gemma":[0.999477,0.0000339042,0.00003887763,0.000336094,0.00007190004,0.0000422056],"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":[0.000005945618,0.000004612093,0.000004700151,0.00001214052,0.00001641715,1.810771e-7,0.00002855542,0.9976068,0.0001083047,0.0001928124,0.001624728,0.0003948069],"study_design_scores_gemma":[0.0005422467,0.00002266294,0.00001954679,0.00001044779,0.00001018713,0.000001674829,0.000003074382,0.9987331,0.0002466099,0.00003644258,0.0002568219,0.0001171813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00009047999,0.00006022666,0.989282,0.00005869317,0.0006891821,0.0003691736,0.000005147313,0.0003496753,0.009095388],"genre_scores_gemma":[0.7306865,0.000008604703,0.2675189,0.00002231206,0.0001008496,0.00008182535,0.00002890418,0.00005472169,0.001497352],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7305961,"threshold_uncertainty_score":0.3805998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009241897045171326,"score_gpt":0.224317492052904,"score_spread":0.2150755950077327,"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."}}