{"id":"W4392693761","doi":"10.1109/tpwrd.2024.3376535","title":"General Multi-Phase Element-Based Load Flow for AC–DC Power Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Electric power system; Power flow; Electrical engineering; Three-phase; Power-flow study; Control theory (sociology); Power (physics); AC power; Computer science; Engineering; Physics; Voltage; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003591762,0.0008247202,0.000369714,0.0004097098,0.0004657801,0.0006478741,0.001079239,0.0008994961,0.01358678],"category_scores_gemma":[0.0005363891,0.0003630316,0.0006015225,0.0005456965,0.0003501365,0.00105801,0.0004849817,0.001164255,0.002995739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951535,"about_ca_system_score_gemma":0.0004609063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002823346,"about_ca_topic_score_gemma":0.003946822,"domain_scores_codex":[0.9998406,0.0000502457,0.000008365663,0.00002739301,0.00006299579,0.00001031339],"domain_scores_gemma":[0.9999025,0.00003377872,0.00001051061,0.000015953,0.00003281073,0.000004514468],"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":[0.00004431911,0.00009438194,0.0003567587,0.0003475038,0.00002180318,0.0001148659,0.0001389505,0.8292561,0.01418353,0.06093949,0.004294034,0.09020821],"study_design_scores_gemma":[0.000007140149,0.00001228957,0.00003709304,0.00001392559,0.000002248799,0.00001854041,0.000008837768,0.9862815,0.0008682694,0.005016475,0.007729349,0.000004338512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001494137,0.0001521923,0.9912463,0.00006803346,0.00004306489,0.0000891785,0.00009448241,0.0001883622,0.006624322],"genre_scores_gemma":[0.2746111,0.001290415,0.6924746,0.0002126452,0.0001382756,0.0008001711,0.0007240924,0.0003570141,0.02939172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01358678,"threshold_uncertainty_score":0.04545236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716160185475723,"score_gpt":0.2584979941033385,"score_spread":0.2413363922485813,"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."}}