{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005549703,0.0003238191,0.0005236556,0.0005874447,0.000227007,0.0003819723,0.0002533527,0.0003759378,0.0003021749],"category_scores_gemma":[0.002395051,0.0001401693,0.000302844,0.0003973138,0.0002526105,0.0006019782,0.0002621121,0.0003030037,0.00005796101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938451,"about_ca_system_score_gemma":0.0003975474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972838,"about_ca_topic_score_gemma":0.001679949,"domain_scores_codex":[0.9997746,0.00007129418,0.00001740875,0.00004228986,0.0000769363,0.00001744407],"domain_scores_gemma":[0.9991357,0.0004965208,0.0001595723,0.00005397431,0.0001349168,0.00001931482],"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":[0.00006839167,0.00002431152,0.003185961,0.00004261949,0.00004164055,0.00006031948,0.00005500181,0.9243773,0.005654383,0.003438887,0.0003027749,0.0627485],"study_design_scores_gemma":[0.000002304856,0.00002113027,0.0004093009,0.000002376222,0.000004332677,0.00002317438,0.000003013634,0.9983041,0.000795495,0.0003474024,0.0000838077,0.000003611297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141577,0.0001559414,0.8837469,0.0000896737,0.00002211072,0.0000247733,0.00003939813,0.0003419652,0.001421469],"genre_scores_gemma":[0.9596078,0.00005553052,0.03998563,0.00001240279,0.000007099166,0.00002232792,0.00005361198,0.000009790741,0.000245851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001972838,"threshold_uncertainty_score":0.00392276,"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."}}