{"id":"W3200790904","doi":"10.1109/sege52446.2021.9534982","title":"Fractional PID Controller Tuning Using Krill Herd for Renewable Power Systems Control","year":2021,"lang":"en","type":"article","venue":"","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"PID controller; Renewable energy; Control theory (sociology); Energy storage; Controller (irrigation); Electric power system; Flywheel; Automatic frequency control; Automatic Generation Control; Flywheel energy storage; Computer science; Control engineering; Engineering; Power (physics); Automotive engineering; Temperature control; Control (management); Electrical 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":[0.0004337146,0.0003636745,0.000530575,0.0002681081,0.000373563,0.0005769033,0.0005484013,0.0005301867,0.001067594],"category_scores_gemma":[0.001155741,0.0001848186,0.0003529456,0.0002316012,0.0003937315,0.0004496494,0.0002905285,0.000488625,0.0001628962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015138,"about_ca_system_score_gemma":0.0004982069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539027,"about_ca_topic_score_gemma":0.002419518,"domain_scores_codex":[0.9997723,0.00004436829,0.00001410836,0.00005549778,0.0000890898,0.00002473859],"domain_scores_gemma":[0.9997954,0.00008751309,0.00004229308,0.00002486277,0.00004238024,0.000007520449],"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":[0.0002464769,0.000125377,0.001643379,0.0002201975,0.0001211635,0.0001525133,0.0002769679,0.687025,0.04105575,0.01660834,0.00118142,0.2513433],"study_design_scores_gemma":[0.00002105975,0.0001663275,0.0004581224,0.000008698014,0.00001603092,0.00005604119,0.00001048661,0.9929322,0.003701975,0.001465033,0.001152141,0.00001192152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0367662,0.0003238241,0.9588962,0.00006900387,0.0000622653,0.00003882309,0.00001199396,0.0002986333,0.003532983],"genre_scores_gemma":[0.9110636,0.0001277884,0.08684668,0.00005381629,0.00001698228,0.00005281829,0.00002209014,0.00002567629,0.001790649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002539027,"threshold_uncertainty_score":0.005048513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617247573159401,"score_gpt":0.2284608271763053,"score_spread":0.2122883514447113,"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."}}