{"id":"W2560446790","doi":"10.1109/epec.2016.7771765","title":"Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions","year":2016,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Particle swarm optimization; Fractal; Tracking (education); Genetic algorithm; Heuristic; Electric power system; Computer science; Mathematical optimization; State (computer science); Algorithm; Estimation; Power (physics); Control theory (sociology); Mathematics; Artificial intelligence; Engineering","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":[0.0004499566,0.0001520582,0.0001485696,0.0001528644,0.00008419074,0.00004709392,0.00009052468,0.00006118097,0.0004808277],"category_scores_gemma":[0.00004785156,0.0001127613,0.00004831188,0.000149979,0.00002498515,0.0002048139,0.000008093283,0.00008376213,0.000138448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004529729,"about_ca_system_score_gemma":0.00004156687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005584281,"about_ca_topic_score_gemma":0.000005996461,"domain_scores_codex":[0.9988382,0.00008550748,0.0002863237,0.0001911278,0.0003691292,0.0002297136],"domain_scores_gemma":[0.999336,0.0001281319,0.00002866883,0.0002731107,0.0001330379,0.0001010376],"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":[0.00001207579,0.00004331256,0.0002450116,0.00007167114,0.0000229616,0.000001257864,0.00005690906,0.9917267,0.006935837,0.0005106952,0.0001620062,0.0002115579],"study_design_scores_gemma":[0.0006231774,0.00005335937,0.003385068,0.0003716779,0.000008013481,0.000004639227,0.00007335296,0.9847692,0.01039526,0.00004858325,0.00001787733,0.0002498273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006588108,0.000003553165,0.9817129,0.00007842469,0.0002128273,0.0005727491,0.00005350154,0.0007939751,0.009984012],"genre_scores_gemma":[0.9976335,1.389252e-7,0.002087645,0.00003489485,0.000004324063,0.0001014637,0.00001271148,0.00003107374,0.00009424665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910454,"threshold_uncertainty_score":0.5264726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600862408091432,"score_gpt":0.26336332359499,"score_spread":0.2373546995140757,"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."}}