{"id":"W3121097856","doi":"10.1109/tia.2020.3048643","title":"Stochastic Optimization for Residential Demand Response With Unit Commitment and Time of Use","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Demand response; Flexibility (engineering); Computer science; Power system simulation; Electricity; Environmental economics; Mathematical optimization; Load profile; Pareto principle; Operations research; Electricity generation; Electricity pricing; Load management; Electricity market; Electric power system; Power (physics); Economics; Engineering","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":[0.00005747896,0.0001164271,0.0001157083,0.0000891599,0.0001071189,0.00002570041,0.00007889669,0.0001090637,0.00005310609],"category_scores_gemma":[0.00000395051,0.0001237652,0.00002412349,0.0002778528,0.00004971645,0.0001108726,0.00000121216,0.0001743171,0.000004750171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003016642,"about_ca_system_score_gemma":0.00001821835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004467734,"about_ca_topic_score_gemma":0.000003041901,"domain_scores_codex":[0.9994283,0.00002431336,0.0001773261,0.0001605776,0.0001003498,0.0001091683],"domain_scores_gemma":[0.9994569,0.0001733423,0.00003389804,0.0001959827,0.00004844086,0.00009147883],"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":[0.0002857746,0.00003864795,0.000005162374,0.00002829596,0.00007909096,2.09308e-7,0.00007974399,0.9977875,0.0009878878,0.00005714485,0.0004037349,0.000246811],"study_design_scores_gemma":[0.001031882,0.0002438575,0.0004149619,0.00003618856,0.0002152508,0.000003343365,0.0001230406,0.98564,0.00998358,0.00001472439,0.002073317,0.0002198733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03441873,0.00000619019,0.9640892,0.0004058471,0.0000278932,0.0007268995,0.0001534576,0.0001443509,0.00002749644],"genre_scores_gemma":[0.9905856,0.000005748509,0.008191062,0.00006151666,0.00003729362,0.000906817,0.0000172763,0.00003543102,0.0001592903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9561669,"threshold_uncertainty_score":0.5046999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298336846324782,"score_gpt":0.2246157255863346,"score_spread":0.2016323571230868,"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."}}