{"id":"W2314126258","doi":"10.1109/tsg.2016.2530630","title":"An Analytical Method for Probabilistic Modeling of the Steady-State Behavior of Secondary Residential System","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Probabilistic logic; Demand response; Smart grid; Monte Carlo method; Grid; Transformer; Computer science; Reliability engineering; Transformation (genetics); Covariance; Distributed generation; Mathematical optimization; Engineering; Control engineering; Electricity; Mathematics; Renewable energy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004504523,0.0007637962,0.0005204575,0.0007073036,0.0004680855,0.0005518513,0.001127947,0.0006724951,0.003652227],"category_scores_gemma":[0.001246203,0.0003744919,0.000899386,0.0007570779,0.0005133873,0.0009621694,0.0003902369,0.0008574173,0.0009716844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006050649,"about_ca_system_score_gemma":0.0009340838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086618,"about_ca_topic_score_gemma":0.002654729,"domain_scores_codex":[0.9997725,0.0000620877,0.000009474988,0.00003264181,0.0001045261,0.00001876071],"domain_scores_gemma":[0.9996926,0.0001326807,0.00003935267,0.00003531566,0.00009076679,0.000009343317],"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":[0.00001532348,0.00002788348,0.0002877786,0.0001035232,0.00002070868,0.0001435473,0.00008206531,0.8720394,0.005997188,0.08721428,0.001933797,0.03213451],"study_design_scores_gemma":[0.000001507283,0.000006514017,0.00002842447,0.000004765729,0.000003931871,0.00003998211,0.000004813636,0.992709,0.0003942791,0.004994577,0.001808375,0.000003783509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006920188,0.00005712793,0.9975127,0.00002833848,0.00001409801,0.00001416156,0.00002747492,0.0001503201,0.001503699],"genre_scores_gemma":[0.4492057,0.001569739,0.5334662,0.0001699639,0.0002115369,0.0005058789,0.000361137,0.00035125,0.01415866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003652227,"threshold_uncertainty_score":0.01221788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150362903357787,"score_gpt":0.2607816910166597,"score_spread":0.2392780619830819,"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."}}