{"id":"W2287845755","doi":"10.1109/ecce.2015.7310560","title":"Grid harmonics compensation by using high-power PWM converters based on combination approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Harmonics; Pulse-width modulation; Converters; Electronic engineering; PWM rectifier; Harmonic; Compensation (psychology); Computer science; Total harmonic distortion; Harmonic analysis; Control theory (sociology); Power (physics); Active filter; Engineering; Electrical engineering; Voltage; Physics; Acoustics","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":[0.00009363797,0.0004261229,0.0004297046,0.0004116267,0.000276144,0.0004975771,0.0005754774,0.0002540161,0.002051075],"category_scores_gemma":[0.0001313715,0.0001888805,0.0003016813,0.0006071875,0.0001316455,0.000578766,0.000282079,0.0002850037,0.000441687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373202,"about_ca_system_score_gemma":0.0001889743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597999,"about_ca_topic_score_gemma":0.0009152309,"domain_scores_codex":[0.9997956,0.00002482977,0.00001447171,0.00004351501,0.0001038327,0.0000178081],"domain_scores_gemma":[0.9999305,0.00001219774,0.00001472078,0.00001472101,0.00002296909,0.000004899411],"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":[0.000484665,0.0001673095,0.001769454,0.0003705782,0.0001232587,0.000233271,0.0001235897,0.01953015,0.31176,0.005261575,0.001654935,0.6585212],"study_design_scores_gemma":[0.0002923537,0.001719681,0.008328415,0.00007453914,0.0003352811,0.002114346,0.0001392315,0.6149313,0.3342377,0.007674928,0.03007872,0.00007344149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.14215,0.001563235,0.8283462,0.00009701105,0.0001018929,0.0001247675,0.00005892328,0.001309967,0.02624794],"genre_scores_gemma":[0.9021848,0.0005139672,0.09330579,0.00005158147,0.00004679222,0.00004982574,0.00007031517,0.00004084857,0.003736013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002051075,"threshold_uncertainty_score":0.006861567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466101686593525,"score_gpt":0.1874453481926033,"score_spread":0.1727843313266681,"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."}}