{"id":"W2120303922","doi":"10.1109/tpwrd.2004.829922","title":"A Novel Control Algorithm for the DG Interface to Mitigate Power Quality Problems","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Harmonics; Control theory (sociology); Distributed generation; AC power; Controller (irrigation); Control engineering; Electric power system; Engineering; Compensation (psychology); Fuzzy logic; Interface (matter); Nonlinear system; Computer science; Power (physics); Voltage; Electronic engineering; 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":[0.0002474465,0.0004559363,0.0002631871,0.000194862,0.0002372407,0.0004458529,0.0006155206,0.0004976414,0.001649522],"category_scores_gemma":[0.0004073422,0.0001019392,0.0001470262,0.0001738396,0.0002502039,0.000341302,0.0002903363,0.0005737607,0.0003351711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726351,"about_ca_system_score_gemma":0.0002817363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171646,"about_ca_topic_score_gemma":0.001568331,"domain_scores_codex":[0.9998906,0.00001399666,0.000007384301,0.00003653576,0.00004068444,0.00001090737],"domain_scores_gemma":[0.9999003,0.00002494915,0.00001460868,0.000008183107,0.00004538519,0.000006456293],"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":[0.0002701344,0.0001453403,0.0009699499,0.000246433,0.00005294012,0.0001478691,0.0002707147,0.1695594,0.09316022,0.02351036,0.004009841,0.7076569],"study_design_scores_gemma":[0.00008263333,0.0001944711,0.0003424852,0.00001479224,0.00002014751,0.0001147074,0.0000150201,0.9774948,0.0103534,0.001580078,0.009776886,0.00001064832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005849477,0.00009567842,0.9918593,0.00005732983,0.00005510312,0.00004382015,0.000008730494,0.0002628677,0.001767723],"genre_scores_gemma":[0.5969338,0.0002375487,0.3948807,0.0001928845,0.0001164278,0.0002522723,0.00007028072,0.00004758263,0.007268566],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001649522,"threshold_uncertainty_score":0.005518198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734290925285152,"score_gpt":0.2613956670553669,"score_spread":0.2340527578025154,"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."}}