{"id":"W2231928583","doi":"10.1016/j.rser.2015.12.070","title":"A comprehensive review on uncertainty modeling techniques in power system studies","year":2016,"lang":"en","type":"review","venue":"Renewable and Sustainable Energy Reviews","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":409,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Probabilistic logic; Electric power system; Context (archaeology); Computer science; Restructuring; Probability density function; Uncertainty quantification; Work (physics); Power (physics); Mathematical optimization; Engineering; Machine learning; Artificial intelligence; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001559819,0.001073109,0.00609864,0.0004104597,0.0001323142,0.00005062463,0.0004346415,0.0004193956,0.000008604155],"category_scores_gemma":[0.0002288865,0.0006710974,0.0006204675,0.0007520964,0.00007313937,0.0001984087,0.000223896,0.0003505278,0.00002182692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516556,"about_ca_system_score_gemma":0.0001714035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941098,"about_ca_topic_score_gemma":0.00002816173,"domain_scores_codex":[0.9951536,0.0006407428,0.002031123,0.0008417218,0.0002386892,0.001094144],"domain_scores_gemma":[0.9978767,0.0002839853,0.0003361484,0.001068604,0.0002638914,0.0001706448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000310295,0.0000140313,2.880415e-8,0.6159775,0.0001282686,0.00009262928,0.0000271705,0.0007097592,1.781236e-7,0.002662124,0.007571018,0.3728142],"study_design_scores_gemma":[0.00006832516,0.0000379343,1.182381e-9,0.356937,0.000133589,0.00004430248,0.0001970004,0.0001829952,6.189562e-7,0.0000992841,0.6418284,0.0004705713],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.813284e-7,0.9901713,0.001041028,0.00002374792,0.0002775823,0.002144048,0.00001387682,0.0003375459,0.005990743],"genre_scores_gemma":[0.00001240817,0.9941975,0.0000695243,0.0001571802,0.0001029226,0.00246729,0.00001969158,0.0001190473,0.002854442],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6342574,"threshold_uncertainty_score":0.999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734299939859377,"score_gpt":0.2988336187393824,"score_spread":0.2614906193407887,"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."}}