{"id":"W2141622557","doi":"10.1109/ptc.2003.1304159","title":"Determination and allocation of typical load profiles to the eligible consumers","year":2004,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Cluster analysis; Computer science; Quarter (Canadian coin); Artificial neural network; Load profile; Load balancing (electrical power); Operations research; Machine learning; Artificial intelligence; Engineering; Mathematics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004239698,0.0002380666,0.0003730413,0.0009160946,0.0003675034,0.0005553389,0.0003259084,0.0003042206,0.0008739758],"category_scores_gemma":[0.002178868,0.0001569168,0.0001640978,0.0006620598,0.000155535,0.0004640332,0.0003340164,0.0002177005,0.0003464004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005141069,"about_ca_system_score_gemma":0.0005289324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003443989,"about_ca_topic_score_gemma":0.003391741,"domain_scores_codex":[0.9995973,0.0001003898,0.00002475059,0.000116559,0.0001114287,0.00004964653],"domain_scores_gemma":[0.9993485,0.0001169875,0.000116317,0.00007052932,0.0002984169,0.0000492731],"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":[0.001022019,0.0002224019,0.07150799,0.0001910386,0.0000679367,0.000212104,0.0006523543,0.2234938,0.04904516,0.007710375,0.006284106,0.6395907],"study_design_scores_gemma":[0.00002609973,0.0001218455,0.03322423,0.00001724548,0.00002378889,0.0001381404,0.0003941416,0.9377846,0.02144034,0.004111303,0.002679235,0.00003893677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4854165,0.00008594819,0.506286,0.0001076135,0.00001358554,0.0002068115,0.0003321997,0.0007171553,0.006834092],"genre_scores_gemma":[0.9292603,0.00004291005,0.06914504,0.00001406598,0.000007674003,0.00008682845,0.0002386415,0.00002433208,0.001180184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003443989,"threshold_uncertainty_score":0.006847858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007288216952336371,"score_gpt":0.2107523134208992,"score_spread":0.2034640964685629,"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."}}