{"id":"W2467667935","doi":"10.3390/en9070542","title":"Real Time Information Based Energy Management Using Customer Preferences and Dynamic Pricing in Smart Homes","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"King Saud University","keywords":"Thermostat; Demand response; Schedule; Electricity; Computer science; Energy management; Optimization problem; Home automation; Real-time computing; Automotive engineering; Engineering; Energy (signal processing); Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004848807,0.0004670081,0.0006991019,0.000222802,0.0002503934,0.0007198495,0.0007648063,0.0005332568,0.0005405865],"category_scores_gemma":[0.0008250484,0.0002981793,0.0002625761,0.0005027892,0.0004026336,0.001369829,0.0004195681,0.0004573601,0.00009995043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353601,"about_ca_system_score_gemma":0.0003900353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804805,"about_ca_topic_score_gemma":0.003015043,"domain_scores_codex":[0.9996877,0.0001062899,0.00001487579,0.00007416007,0.00007226744,0.00004479654],"domain_scores_gemma":[0.9997358,0.0001262475,0.00005593768,0.0000228892,0.00004073055,0.00001848366],"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":[0.0001337755,0.0001264265,0.001780316,0.00005126629,0.0000458022,0.0001069752,0.00007130372,0.9215824,0.003913823,0.007270802,0.0008347538,0.06408236],"study_design_scores_gemma":[0.000006640846,0.00002798373,0.0003140458,0.000001750165,0.00000744185,0.00001876009,0.00001657814,0.9964373,0.000727556,0.002145197,0.0002910671,0.000005787329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.229935,0.0009376429,0.7623715,0.0004732361,0.00008526648,0.0000607517,0.00006289177,0.0005161652,0.005557587],"genre_scores_gemma":[0.9776486,0.0001951399,0.02135714,0.00004279021,0.00001974722,0.0000181619,0.00002323656,0.00001533583,0.0006799619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002804805,"threshold_uncertainty_score":0.005576968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004453373009510105,"score_gpt":0.1815689188213666,"score_spread":0.1771155458118565,"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."}}