{"id":"W2064936119","doi":"10.1109/aupec.2013.6725364","title":"Residential voltage dip and swell mitigation using Plug-in Hybrid Electric Vehicle in smart grid","year":2013,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Swell; Voltage; Smart grid; Plug-in; MATLAB; Electric power system; Voltage regulation; Voltage source; Electrical engineering; Engineering; Computer science; Grid; Power (physics); Electronic engineering; Automotive engineering; Physics; Geology","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":[0.00009996949,0.0002602132,0.0003219785,0.0002234803,0.0001309713,0.0002789135,0.0002508324,0.0001550805,0.0006989647],"category_scores_gemma":[0.00009226175,0.00009886213,0.0001636308,0.0002220066,0.0001092954,0.0002341684,0.000201805,0.0001179322,0.0001276564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736478,"about_ca_system_score_gemma":0.0001342733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136357,"about_ca_topic_score_gemma":0.003045039,"domain_scores_codex":[0.9999418,0.00001689459,0.000002916457,0.00000843085,0.00001867391,0.00001125632],"domain_scores_gemma":[0.9999599,0.000007820751,0.00001035912,0.000006269735,0.00001103372,0.00000451079],"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":[0.0006088122,0.0003084528,0.005109266,0.0003098774,0.000139514,0.0004064527,0.0000922954,0.6465467,0.1093928,0.003134663,0.001538691,0.2324124],"study_design_scores_gemma":[0.00004867931,0.0005576746,0.003780192,0.00001008139,0.00006310713,0.0001457097,0.00005796849,0.9680347,0.02405786,0.001393491,0.00183672,0.00001383052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150137,0.0004223906,0.3754747,0.0001295635,0.00003882861,0.00006779739,0.00007094943,0.001362907,0.007419184],"genre_scores_gemma":[0.9941272,0.00005962171,0.005105499,0.000007577007,0.000003453308,0.00000766845,0.00001959951,0.00000770179,0.0006617932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136357,"threshold_uncertainty_score":0.002711296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003394110260718845,"score_gpt":0.1695737617233915,"score_spread":0.1661796514626727,"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."}}