{"id":"W2612224301","doi":"10.1109/icit.2017.7915432","title":"Taylor series approximation of ZIP model for on-line estimation of residential loads' parameters","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taylor series; Voltage; Series (stratigraphy); AC power; Line (geometry); Representation (politics); Electric power system; Computer science; Polynomial; Control theory (sociology); Range (aeronautics); Power (physics); Voltage optimisation; Estimation theory; Mathematical optimization; Mathematics; Algorithm; Engineering; Artificial intelligence; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001130031,0.00008169186,0.0001331089,0.00007201501,0.00004189603,0.00002291026,0.0001417087,0.00003605609,0.000006775128],"category_scores_gemma":[0.00007991614,0.00007987793,0.00004597531,0.00002190566,0.00003364297,0.0002655932,0.00002735741,0.00002329341,0.000002254792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204742,"about_ca_system_score_gemma":0.000003932145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003387481,"about_ca_topic_score_gemma":0.00002497523,"domain_scores_codex":[0.9994714,0.000003764967,0.0002223122,0.00008817264,0.0001227879,0.00009162531],"domain_scores_gemma":[0.9994817,0.0000225663,0.00009250545,0.0003482009,0.00003795365,0.00001701017],"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":[0.00003824689,0.00001367485,0.00001126057,0.0001813563,0.00003421093,7.99939e-8,0.00006842328,0.9872188,0.001244019,0.007828631,0.0004876423,0.002873643],"study_design_scores_gemma":[0.0002794544,0.0000429685,0.0002091823,0.00001851045,0.00002011416,1.138642e-7,0.00001527374,0.8776292,0.1193122,0.002398501,0.000009474037,0.00006495493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1672226,0.000003477837,0.8305556,0.00008428985,0.0002048508,0.0001883166,0.000008115305,0.00005944176,0.001673303],"genre_scores_gemma":[0.9005743,0.000004364688,0.0990335,0.000005512777,0.00002324606,0.00004143593,0.00001817256,0.00001506516,0.0002843981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7333517,"threshold_uncertainty_score":0.3257327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722919837610991,"score_gpt":0.2625621470602051,"score_spread":0.2253329486840952,"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."}}