{"id":"W4415727401","doi":"10.1016/j.enbuild.2025.116662","title":"Parametric analysis of model predictive control for residential HVAC systems","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"HVAC; Model predictive control; Weighting; Parametric statistics; Thermal comfort; Building model; Control theory (sociology); Controller (irrigation); Spurious relationship; Parametric model","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":[0.0007153916,0.0005006123,0.0007057677,0.0003286629,0.000379469,0.0008497738,0.000569686,0.0004961487,0.003061229],"category_scores_gemma":[0.002360087,0.0003755265,0.0005935692,0.00033894,0.0005481043,0.0006218689,0.0004718537,0.0008238071,0.0001587591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005806946,"about_ca_system_score_gemma":0.0007014357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007129734,"about_ca_topic_score_gemma":0.004037799,"domain_scores_codex":[0.999657,0.000116576,0.000009347549,0.00003540093,0.0001202605,0.00006148824],"domain_scores_gemma":[0.9992272,0.0005293891,0.00006355545,0.00004783666,0.0001218817,0.00001017955],"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":[0.00002627361,0.00001315465,0.00009198656,0.00002937122,0.000008476709,0.00001645657,0.00002044897,0.9907713,0.0006916103,0.002881366,0.0001457488,0.005303727],"study_design_scores_gemma":[7.890644e-7,0.000007057478,0.00008482429,0.000001171957,0.000001610483,0.000002413034,0.000002722377,0.9990409,0.0001218241,0.0006868346,0.00004830175,0.000001392253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1453699,0.0009013578,0.8272923,0.0004362112,0.00007600924,0.000065557,0.0001357225,0.0003197662,0.02540319],"genre_scores_gemma":[0.9959881,0.0001135615,0.002326598,0.00001019845,0.0000135565,0.00002374679,0.00002348747,0.00001924288,0.001481663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007129734,"threshold_uncertainty_score":0.01417649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005067678385755296,"score_gpt":0.2063500162337833,"score_spread":0.201282337848028,"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."}}