{"id":"W2907141168","doi":"10.1109/smartgridcomm.2018.8587535","title":"An Autonomous Demand Response Algorithm based on Online Convex Optimization","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Demand response; Computer science; Mathematical optimization; Convex optimization; Benchmark (surveying); Scheduling (production processes); Schedule; Load management; Jacobian matrix and determinant; Regular polygon; Electricity; Mathematics; 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":[0.0007232085,0.0007799136,0.0009581978,0.0003168254,0.0003680473,0.00079865,0.001071858,0.0009875223,0.003160078],"category_scores_gemma":[0.001804938,0.0004216822,0.0004193362,0.0005242722,0.0005226012,0.0009681106,0.0008513944,0.001559915,0.0006761824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731129,"about_ca_system_score_gemma":0.001479294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00362992,"about_ca_topic_score_gemma":0.003690291,"domain_scores_codex":[0.9995145,0.0001390829,0.0000169848,0.0001302347,0.0001321285,0.00006704524],"domain_scores_gemma":[0.9992679,0.0004120303,0.00009088818,0.00006200631,0.0001301306,0.00003712827],"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":[0.00007357752,0.0001080781,0.0002103736,0.00003861458,0.00001443654,0.00003633043,0.00003136482,0.9388469,0.001862641,0.009359499,0.002355917,0.04706217],"study_design_scores_gemma":[0.000008024059,0.000009346542,0.00001153645,6.589444e-7,7.440454e-7,0.000003639358,0.000002183355,0.9986252,0.0001789399,0.0009789574,0.0001796726,0.000001229058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008356366,0.00003742329,0.9877682,0.0001621744,0.0000250601,0.00005204094,0.00003997236,0.0004427485,0.003115975],"genre_scores_gemma":[0.5791546,0.00009941733,0.4132967,0.0002314562,0.00007244037,0.0004027185,0.0003168152,0.0002024623,0.006223449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00362992,"threshold_uncertainty_score":0.01057154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007467318266908811,"score_gpt":0.2221253708560994,"score_spread":0.2146580525891906,"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."}}