{"id":"W3137836526","doi":"10.1109/tpwrs.2021.3065395","title":"Resiliency-Oriented Planning of Transmission Systems and Distributed Energy Resources","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Load Shedding; Electric power transmission; Electric power system; Mathematical optimization; Distributed generation; Benders' decomposition; Transmission (telecommunications); Transmission system; Reliability engineering; Engineering; Computer science; Linear programming; Power (physics); Renewable energy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001502722,0.0001989816,0.0003886177,0.0001831155,0.0001470382,0.00005138579,0.00009562047,0.0001648837,0.00003245045],"category_scores_gemma":[0.000003906074,0.0001826372,0.0001126381,0.0005689292,0.00006477606,0.0001262615,8.456414e-7,0.0001986658,0.000001620081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005875095,"about_ca_system_score_gemma":0.00002684727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001549638,"about_ca_topic_score_gemma":0.00001020694,"domain_scores_codex":[0.9985586,0.000130072,0.0004828684,0.0002796124,0.0003069387,0.0002419216],"domain_scores_gemma":[0.9992717,0.0001108268,0.00005595504,0.0003306671,0.0001116741,0.0001191821],"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":[0.00002630875,0.00003797349,0.00006114932,0.0002561406,0.0001310109,0.00001749626,0.0006844596,0.9862152,0.01185871,0.0001471746,0.000128991,0.000435398],"study_design_scores_gemma":[0.001277269,0.0003028734,0.0007302578,0.001709976,0.0003595749,0.0002620209,0.01211422,0.785914,0.1547965,0.00002804,0.04153317,0.0009720966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1144241,0.002841757,0.8810862,0.00001174723,0.0007445548,0.00007937315,0.0001023357,0.0001238286,0.0005860687],"genre_scores_gemma":[0.9995532,0.0001203503,0.00006151664,0.000004322589,0.00001259085,0.00002171151,0.00001156266,0.00002193475,0.0001928369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8851291,"threshold_uncertainty_score":0.7447728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005688604431336858,"score_gpt":0.2085476400190469,"score_spread":0.20285903558771,"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."}}