{"id":"W4397000618","doi":"10.1109/scc59637.2023.10527780","title":"MPC-Based Efficient Energy Control and Cost Estimation of HVAC in Buildings","year":2023,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Model predictive control; HVAC; Computer science; PID controller; Energy consumption; MATLAB; Electricity; Efficient energy use; Backup; Automotive engineering; Control engineering; Control theory (sociology); Control (management); Engineering; Temperature control; Air conditioning; 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":[0.0003622694,0.0006070308,0.0006114044,0.0002777308,0.0003121813,0.0007296896,0.0005200846,0.0003615671,0.000996059],"category_scores_gemma":[0.0007159751,0.0002770493,0.0003027747,0.0003745683,0.0003089737,0.0004244506,0.000407471,0.0005704674,0.0001364229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006959258,"about_ca_system_score_gemma":0.0008026608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005141,"about_ca_topic_score_gemma":0.01202377,"domain_scores_codex":[0.999744,0.00005867597,0.000009102766,0.00004566086,0.0001104216,0.00003217739],"domain_scores_gemma":[0.9997782,0.00009409706,0.00003566368,0.0000215196,0.00006223222,0.000008290028],"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":[0.00002428627,0.00001162076,0.0001408693,0.0000274761,0.000008687362,0.00001282862,0.0000101148,0.9846125,0.0009975481,0.0008465492,0.0001557607,0.01315173],"study_design_scores_gemma":[0.000001855964,0.000008375244,0.0001116396,0.000001548861,0.000002404186,0.000002409606,0.000001748374,0.9990746,0.0004470831,0.0002402548,0.0001063637,0.000001630578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09729697,0.0008105637,0.8905882,0.0001740674,0.00005232612,0.00006919661,0.0001235495,0.00100617,0.009879016],"genre_scores_gemma":[0.9877297,0.0001265702,0.01109676,0.00001177763,0.000008949911,0.00003154734,0.00004132174,0.00001894965,0.0009343728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02005141,"threshold_uncertainty_score":0.03986943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004191805612521592,"score_gpt":0.1886676493408693,"score_spread":0.1844758437283477,"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."}}