{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002141419,0.001583135,0.001412331,0.0005042009,0.0004379137,0.001383695,0.001175334,0.001320681,0.004526152],"category_scores_gemma":[0.004224643,0.0009259428,0.00122197,0.001057967,0.0008337462,0.00103269,0.001153207,0.002098059,0.0004792324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819732,"about_ca_system_score_gemma":0.001563835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01440785,"about_ca_topic_score_gemma":0.01037462,"domain_scores_codex":[0.9984075,0.0008203371,0.00004633939,0.0002313351,0.0002811823,0.0002133894],"domain_scores_gemma":[0.9982609,0.001156634,0.0002137436,0.00006936863,0.0002113733,0.00008804756],"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":[0.00002765139,0.00001458856,0.0001067311,0.00001963567,0.00001782642,0.00002316604,0.000009880304,0.9910491,0.0001290761,0.006603125,0.0003326127,0.001666586],"study_design_scores_gemma":[0.000003424501,0.000006158543,0.00003457288,0.000001387318,0.000002177447,0.000001856452,0.000003615966,0.9981611,0.00002455672,0.001638457,0.0001204802,0.000002225914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04271216,0.0006986732,0.9416713,0.0009875506,0.0001572079,0.0001206915,0.0004120496,0.000317004,0.01292343],"genre_scores_gemma":[0.9482197,0.0005510483,0.03793528,0.0002023862,0.00006102027,0.0003012979,0.0003843585,0.0001280355,0.01221678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01440785,"threshold_uncertainty_score":0.02864796,"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."}}