{"id":"W4292388582","doi":"10.1109/eeeic/icpseurope54979.2022.9854797","title":"Optimal Placement of GIC Blocking Devices Considering Transformer Thermal Limit Using Surrogate Optimization","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Geomagnetically induced current; Transformer; Energy efficient transformer; Electric power system; Current transformer; Distribution transformer; Electrical engineering; Voltage; MATLAB; Engineering; Computer science; Electronic engineering; Geomagnetic storm; Magnetic field; Earth's magnetic field; Power (physics); Physics","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":[0.0009480353,0.001412919,0.001357725,0.0006232912,0.0004049846,0.001385407,0.0008518675,0.001205238,0.003536086],"category_scores_gemma":[0.002418012,0.0006499937,0.0008003192,0.0006116955,0.0006610142,0.0007682135,0.0008387456,0.001034803,0.00051929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524911,"about_ca_system_score_gemma":0.001288792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306337,"about_ca_topic_score_gemma":0.00319926,"domain_scores_codex":[0.9995196,0.0001950352,0.00001779542,0.00006067389,0.0001243268,0.00008265928],"domain_scores_gemma":[0.9992211,0.0004243403,0.0001184407,0.00004001035,0.0001413059,0.00005486831],"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":[0.00003901541,0.0000132562,0.0001300676,0.00003868319,0.000009761827,0.00003548435,0.00001253544,0.9920328,0.001233965,0.001982321,0.0002863078,0.004185794],"study_design_scores_gemma":[0.000007929171,0.00003727169,0.00005362534,0.000008254395,0.00000636196,0.0000149018,0.00001250879,0.9977211,0.0004541169,0.001306561,0.0003739914,0.00000322865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03876013,0.0005564666,0.9472036,0.0002455425,0.00007727907,0.00008871318,0.0001086481,0.0002973477,0.01266231],"genre_scores_gemma":[0.8159967,0.0004352627,0.1770754,0.0001120093,0.00003124047,0.00017965,0.0001604454,0.0001434316,0.005865834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003536086,"threshold_uncertainty_score":0.01182938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05279155682592623,"score_gpt":0.2332347826787985,"score_spread":0.1804432258528722,"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."}}