{"id":"W2596567060","doi":"10.1016/j.apenergy.2017.03.023","title":"An analysis on the energy consumption of circulating pumps of residential swimming pools for peak load management","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Chinese Academy of Sciences","keywords":"Energy consumption; Environmental science; Work (physics); Efficient energy use; Energy (signal processing); Consumption (sociology); Sampling (signal processing); Energy management; Estimation; Computer science; Simulation; Statistics; Automotive engineering; Engineering; Mathematics; Telecommunications; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003236177,0.0001993502,0.0003227113,0.0002279525,0.0002078529,0.00006584603,0.0005622113,0.00006973447,0.00004635188],"category_scores_gemma":[0.00001311676,0.0001818683,0.0001685763,0.0001480998,0.00007076484,0.00009029212,0.0001066693,0.00004668421,0.000001768844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009131804,"about_ca_system_score_gemma":0.000006846835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006327673,"about_ca_topic_score_gemma":0.0004170266,"domain_scores_codex":[0.9986464,0.00002175483,0.000416116,0.0002885172,0.0003616515,0.0002654969],"domain_scores_gemma":[0.9983798,0.00008918864,0.0002508512,0.001184751,0.00004877759,0.00004662137],"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":[0.0000269117,0.00003381992,0.000135715,0.00006814791,0.0009483355,0.000001916085,0.00004733046,0.717635,0.008910889,0.2653401,0.0001288838,0.00672298],"study_design_scores_gemma":[0.001842416,0.0001216311,0.06046785,0.0001225001,0.002315092,0.000001089784,0.0005150064,0.7137743,0.2089666,0.004101004,0.006892458,0.0008799875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5758438,0.00009203441,0.3770233,0.00006242994,0.0005473147,0.0002924578,0.00001957068,0.000200503,0.04591854],"genre_scores_gemma":[0.9985095,0.00007948407,0.0008824415,0.00003638294,0.000134336,0.0001716056,0.00003989109,0.00004147557,0.000104869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4226657,"threshold_uncertainty_score":0.7416373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564660501756535,"score_gpt":0.2346303442369015,"score_spread":0.2189837392193361,"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."}}