{"id":"W2906876359","doi":"10.1109/iecon.2018.8591120","title":"Online Grid Support Inverter Parameters Identification Using Extended Kalman Filters","year":2018,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Kalman filter; Microgrid; Extended Kalman filter; MATLAB; Inverter; Grid; Emulation; Key (lock); Filter (signal processing); Electronic engineering; Engineering; Electrical engineering; Voltage","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":[0.0003620985,0.0005704563,0.0005306602,0.0002908022,0.0002471315,0.0006350699,0.0004488713,0.0005291152,0.002060926],"category_scores_gemma":[0.001223766,0.0003175775,0.0003517721,0.0002282528,0.000196405,0.0007917137,0.0004460729,0.000597326,0.0007610868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810629,"about_ca_system_score_gemma":0.0004385193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003709695,"about_ca_topic_score_gemma":0.004303274,"domain_scores_codex":[0.9997252,0.00005134025,0.00002459957,0.00007269707,0.0001001585,0.00002616473],"domain_scores_gemma":[0.9996568,0.0001300956,0.00006522469,0.00004870701,0.00009038753,0.00000891398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003386802,0.0001004996,0.002549608,0.0002933035,0.000125035,0.0001885136,0.0002370338,0.4711502,0.04235649,0.004401265,0.001850801,0.4764086],"study_design_scores_gemma":[0.00002391993,0.00007966813,0.001119172,0.00002299737,0.00002383043,0.00005845847,0.00001767974,0.9841091,0.01108359,0.001013205,0.002428438,0.00001991935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161004,0.0001273561,0.9860618,0.0000328677,0.00002477482,0.00002091006,0.00004231746,0.0009543443,0.001125524],"genre_scores_gemma":[0.8701823,0.0002880226,0.1265068,0.00003666552,0.0000269912,0.00009764985,0.0001504131,0.00007110773,0.002640029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003709695,"threshold_uncertainty_score":0.007376194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775792867195842,"score_gpt":0.2337311615403659,"score_spread":0.2159732328684075,"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."}}