{"id":"W2009766558","doi":"10.1109/waina.2015.128","title":"Demand Response: From Classification to Optimization Techniques in Smart Grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Smart grid; Prosumer; Demand response; Computer science; Grid; Distributed generation; Electric power system; Electric power industry; Electric utility; Electricity; Distributed computing; Power (physics); Engineering; Renewable energy; 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":[0.001307885,0.0009074144,0.00108283,0.001778422,0.0003867714,0.002376951,0.001114104,0.001230938,0.002154938],"category_scores_gemma":[0.00316943,0.0003423519,0.0007741547,0.003505918,0.001033002,0.003794192,0.0008185882,0.001965837,0.0007522822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009775236,"about_ca_system_score_gemma":0.0004502119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138921,"about_ca_topic_score_gemma":0.0009695783,"domain_scores_codex":[0.9988777,0.000438192,0.00009505521,0.000181622,0.0003433201,0.00006413749],"domain_scores_gemma":[0.9986405,0.0008185613,0.0001435863,0.0001225714,0.0002403389,0.00003440384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001320453,0.0001855472,0.002252541,0.0009299119,0.00007518356,0.0001043434,0.0003521325,0.1642783,0.001975536,0.2668918,0.01106247,0.5517602],"study_design_scores_gemma":[0.00001728526,0.00009264764,0.001165515,0.0002321152,0.00002801915,0.0001410191,0.0002358623,0.7415638,0.001446989,0.2252544,0.02977387,0.00004849556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0065212,0.01759302,0.9580321,0.002453725,0.0002505902,0.00008590798,0.0001203823,0.0002510529,0.01469204],"genre_scores_gemma":[0.3868274,0.03519318,0.5619997,0.001331167,0.002603563,0.0003397025,0.0005068331,0.0002406598,0.01095788],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002376951,"threshold_uncertainty_score":0.007209003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507782687161515,"score_gpt":0.2346809369916917,"score_spread":0.2096031101200766,"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."}}