{"id":"W2955540607","doi":"10.1109/tpwrs.2019.2926410","title":"Short-Circuit Constrained Power System Expansion Planning Considering Bundling and Voltage Levels of Lines","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Linearization; Electric power transmission; Electric power system; Time horizon; Voltage; Mathematical optimization; Transmission line; Control theory (sociology); Representation (politics); Integer (computer science); Engineering; Nonlinear system; Integer programming; Power (physics); Computer science; Electrical engineering; Mathematics; Control (management)","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":[0.000483494,0.0007216109,0.0005519923,0.0002884488,0.0003089887,0.0008927474,0.0006684159,0.0005823977,0.002711033],"category_scores_gemma":[0.001133202,0.0004940383,0.0004173336,0.0006087996,0.0004457662,0.001254697,0.0006276446,0.0009083002,0.0002184944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008129947,"about_ca_system_score_gemma":0.001390378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009892747,"about_ca_topic_score_gemma":0.01122879,"domain_scores_codex":[0.9996518,0.0001533566,0.00001125241,0.00005840187,0.00007231835,0.00005288189],"domain_scores_gemma":[0.9995217,0.0002754072,0.0000792416,0.00001982439,0.00007558907,0.00002830527],"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":[0.00001360611,0.000007093686,0.00007765214,0.0000129417,0.000003622402,0.00003019433,0.00001101762,0.9928774,0.0002874997,0.003376018,0.000157312,0.003145666],"study_design_scores_gemma":[0.000002707958,0.00001484602,0.00004273451,0.00000289956,0.000002652663,0.00000576127,0.000007105715,0.997483,0.0001668069,0.002083963,0.000185225,0.000002383849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07039514,0.0002402018,0.9126914,0.0003000155,0.00002407848,0.00008824326,0.0002153916,0.0001809552,0.01586461],"genre_scores_gemma":[0.9463772,0.0001995298,0.04751512,0.00005021811,0.00001392917,0.0001046256,0.0001559178,0.00003741828,0.005546106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009892747,"threshold_uncertainty_score":0.01967037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187353372848846,"score_gpt":0.2195292220278298,"score_spread":0.2007938847429452,"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."}}