{"id":"W4402977545","doi":"10.1007/978-981-97-0045-5_51","title":"Optimized DC-Bus Voltage Controller for PDPC of Shunt Active Power Filter Based Rooted Tree Optimization Algorithm","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Active power filter; Shunt (medical); Control theory (sociology); Computer science; Voltage; Tree (set theory); Algorithm; AC power; Engineering; Mathematics; Electrical engineering; Control (management); Artificial intelligence","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":[0.0001125228,0.0003786446,0.0004638912,0.0002085281,0.0002778635,0.0005728842,0.0004825343,0.0004639702,0.004643719],"category_scores_gemma":[0.0002858524,0.0001576738,0.0002402463,0.0002891253,0.0001370379,0.0002549537,0.0001761192,0.0004569564,0.0005933868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004955371,"about_ca_system_score_gemma":0.0006599447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006239006,"about_ca_topic_score_gemma":0.008275252,"domain_scores_codex":[0.999909,0.00001620228,0.000003872581,0.00002623812,0.00002999552,0.00001460793],"domain_scores_gemma":[0.9999286,0.00002258469,0.000007209206,0.000006774916,0.0000314645,0.000003396028],"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":[0.00008686392,0.00004763006,0.0002327048,0.0000889447,0.0000243095,0.00004056178,0.00003695848,0.859491,0.008827526,0.006622104,0.002456719,0.1220447],"study_design_scores_gemma":[0.000007401793,0.00001545263,0.00006604373,0.00000294962,0.000003683296,0.000006593463,0.000002941895,0.9980233,0.0007297474,0.0006485141,0.0004916308,0.000001831147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0207598,0.0002272704,0.9658734,0.00006727267,0.00005547273,0.0000568539,0.0001006473,0.0007850865,0.01207419],"genre_scores_gemma":[0.7567788,0.0001566132,0.2346135,0.00007319116,0.00002572601,0.0001617347,0.0002595487,0.0001169904,0.007813847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006239006,"threshold_uncertainty_score":0.01553476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003838565870289004,"score_gpt":0.1824932473998379,"score_spread":0.1786546815295489,"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."}}