{"id":"W2072502186","doi":"10.1016/j.ijepes.2014.06.003","title":"Performance enhancement of hybrid AC/DC microgrid based D-FACTS","year":2014,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Islanding; Diesel generator; Total harmonic distortion; Engineering; Particle swarm optimization; Distributed generation; Turbine; Voltage; Computer science; Automotive engineering; Control theory (sociology); Electronic engineering; Renewable energy; Electrical engineering; Diesel fuel; Control (management)","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":[0.0001481875,0.0006132249,0.0003779838,0.0002474133,0.0002685594,0.0005274711,0.0003813126,0.0002975775,0.002930718],"category_scores_gemma":[0.0002055973,0.00009355934,0.0001952622,0.000250202,0.0001237405,0.0003556589,0.0002384071,0.0002418721,0.0004138993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825719,"about_ca_system_score_gemma":0.0001422817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575971,"about_ca_topic_score_gemma":0.002213313,"domain_scores_codex":[0.9999141,0.00002145174,0.000006046843,0.00001694146,0.00002155705,0.00001992552],"domain_scores_gemma":[0.999833,0.00004406068,0.00001799326,0.00002038851,0.00006591208,0.00001862816],"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":[0.007172737,0.0006121401,0.005794609,0.0009007569,0.0003123936,0.001313567,0.0001937894,0.6448177,0.1645043,0.003843426,0.006601905,0.1639327],"study_design_scores_gemma":[0.0001569341,0.002035547,0.005206832,0.00003354536,0.0001941083,0.0003693727,0.000118464,0.9424608,0.04596152,0.001123511,0.002316782,0.00002249797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122289,0.0006877319,0.05462065,0.0001925401,0.0001552157,0.00004871859,0.0002701298,0.001655585,0.03014056],"genre_scores_gemma":[0.9983375,0.00004169193,0.0008801247,0.00001110226,0.000005117493,0.000004009502,0.00003941373,0.000007584631,0.0006734986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002930718,"threshold_uncertainty_score":0.009804249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00309647193434906,"score_gpt":0.1804305138334315,"score_spread":0.1773340418990825,"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."}}