{"id":"W3116851389","doi":"10.3390/s21010130","title":"Demand Management for Optimized Energy Usage and Consumer Comfort Using Sequential Optimization","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal comfort; HVAC; Computer science; Demand response; Energy consumption; Scheduling (production processes); Linear programming; Efficient energy use; Air conditioning; Energy management; Mathematical optimization; Reliability engineering; Engineering; Energy (signal processing); Electricity; Operations management; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006906269,0.0001591149,0.0001720421,0.00006773722,0.00006829212,0.0000592786,0.00006737642,0.00004729191,0.0000369719],"category_scores_gemma":[0.000006355076,0.0001760397,0.00004473102,0.0001133902,0.00002918606,0.00009137182,0.00005883304,0.00003686489,0.000001692611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003948995,"about_ca_system_score_gemma":0.000002813044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001045316,"about_ca_topic_score_gemma":0.000001669106,"domain_scores_codex":[0.9992472,0.0000189609,0.0001921013,0.0002149945,0.0001088338,0.0002179184],"domain_scores_gemma":[0.9997182,0.00002284693,0.00002759598,0.0001197362,0.00001615685,0.00009546636],"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":[0.00002050911,0.000004303529,0.00004359856,0.00009357542,0.0001595984,0.00001088836,0.00005882208,0.997556,0.0001708346,0.0006182579,0.0007741179,0.0004895515],"study_design_scores_gemma":[0.001001832,0.00001259604,0.00002183085,0.00001255162,0.0001114322,0.00000267974,0.00007325162,0.9836116,0.001150457,0.00001542235,0.0137916,0.0001946738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07826117,0.0001534738,0.917694,0.0001041516,0.0003664269,0.0002934971,0.000009236571,0.000293072,0.002824975],"genre_scores_gemma":[0.7466655,0.0005976042,0.2514198,0.0005016174,0.0002747474,0.0000537741,0.00007591576,0.0001193973,0.0002916327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6684043,"threshold_uncertainty_score":0.7178693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112853134088911,"score_gpt":0.2179576694929108,"score_spread":0.1968291381520217,"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."}}