{"id":"W2588604438","doi":"10.1109/ecce.2016.7854679","title":"A feed-forward based harmonic compensation approach for low switching frequency grid interfacing VSI","year":2016,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interfacing; Control theory (sociology); Compensation (psychology); Computer science; Harmonic; Grid; Harmonic analysis; Distributed generation; Frequency domain; Bandwidth (computing); Electronic engineering; Power (physics); Engineering; Mathematics; Control (management); Physics; Telecommunications","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":[0.0001732996,0.0006505849,0.0003017937,0.0003866511,0.000394002,0.00071456,0.0009569391,0.000544773,0.004996907],"category_scores_gemma":[0.0002379951,0.0001881406,0.0003328669,0.0002613582,0.0002701596,0.0006407984,0.0002807222,0.0006378748,0.0008336683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412905,"about_ca_system_score_gemma":0.000280787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467598,"about_ca_topic_score_gemma":0.002319389,"domain_scores_codex":[0.9998329,0.00002575798,0.000008177195,0.00002882301,0.00008943026,0.00001489625],"domain_scores_gemma":[0.999899,0.0000255466,0.00001437403,0.00001628071,0.00004031993,0.000004451848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002863093,0.0002367008,0.0006452111,0.0004612108,0.0000864785,0.000301456,0.0003282416,0.07868949,0.3573677,0.0346891,0.003327809,0.5235802],"study_design_scores_gemma":[0.00005022707,0.0006435037,0.0005242784,0.00004351636,0.00008450908,0.0003835699,0.0000638256,0.8438064,0.1302499,0.006060264,0.01804778,0.00004222991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009829188,0.0001949685,0.9839628,0.00008067854,0.0000751363,0.00005711643,0.00002372585,0.001048925,0.004727448],"genre_scores_gemma":[0.834151,0.0004038727,0.1543703,0.0001420105,0.00007470893,0.00008256617,0.0001046038,0.00007027142,0.01060062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004996907,"threshold_uncertainty_score":0.0167163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714286567788565,"score_gpt":0.2345668315204106,"score_spread":0.207423965842525,"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."}}