{"id":"W4230678360","doi":"10.32920/ryerson.14646519","title":"Modeling and control design of residential HVAC systems for operating cost reduction","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Australasian Society for Human Biology; Independent Electricity System Operator; Mitacs","keywords":"HVAC; Controller (irrigation); Energy consumption; Automotive engineering; Electricity; Engineering; Energy conservation; Air conditioning; Control engineering; Computer science; Mechanical engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004701808,0.0006529599,0.0005857451,0.0003253878,0.0007668428,0.001122449,0.0008816607,0.0006737223,0.002636795],"category_scores_gemma":[0.0006178601,0.0004813011,0.0006658242,0.0003259939,0.0004550567,0.0004515428,0.0005146568,0.0008609023,0.0004320638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309767,"about_ca_system_score_gemma":0.002120799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05954383,"about_ca_topic_score_gemma":0.03411457,"domain_scores_codex":[0.9996611,0.00006246216,0.00001433558,0.00007139942,0.0001411995,0.0000495984],"domain_scores_gemma":[0.9997345,0.00007839329,0.00004146655,0.00001297882,0.0001228279,0.000009790928],"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":[0.00002120457,0.00001551876,0.0003089158,0.0000465817,0.000007995559,0.00003463075,0.00004495948,0.9907982,0.001540227,0.001454256,0.0002657974,0.005461762],"study_design_scores_gemma":[0.00000418833,0.00002507941,0.0002677371,0.000004893292,0.000006330109,0.000006404201,0.00001299916,0.9983085,0.0004911227,0.0003160489,0.0005528712,0.000003748799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08484273,0.0009369366,0.8714724,0.0003926432,0.00009418819,0.0002899527,0.0003390117,0.001066164,0.040566],"genre_scores_gemma":[0.9685281,0.0005034775,0.02324615,0.00003342686,0.00002072782,0.0002455936,0.0001711361,0.00003636152,0.007214903],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05954383,"threshold_uncertainty_score":0.1183945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377750043031548,"score_gpt":0.2283523848916894,"score_spread":0.2045748844613739,"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."}}