{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003091528,0.00008118433,0.00007750154,0.0001795942,0.000009023876,0.00002646663,0.00009520131,0.00004878884,0.00004455058],"category_scores_gemma":[0.00006014854,0.00008438816,0.00001019486,0.0002463704,0.000005125398,0.0001175189,0.00003111071,0.00004379592,0.00006043618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842222,"about_ca_system_score_gemma":0.000008641618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000974927,"about_ca_topic_score_gemma":0.000108518,"domain_scores_codex":[0.9994466,0.00003810785,0.0001559332,0.0001318541,0.0001141537,0.0001133598],"domain_scores_gemma":[0.999653,0.00002980709,0.000009599883,0.000212233,0.0000259995,0.00006930815],"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":[0.00004491737,0.000009093435,0.001330729,0.000002086402,0.000005542231,0.000001706643,0.0001064409,0.9667729,0.001409052,0.0001519194,0.02936807,0.0007975728],"study_design_scores_gemma":[0.0002719016,0.00004143271,0.03613885,0.00002345092,0.000006161614,4.265968e-7,0.0001529798,0.8563193,0.017647,0.0001120392,0.08905422,0.0002322261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071127,0.00003334835,0.8702188,0.0007763403,0.0004615598,0.0002402315,0.000002900071,0.0008346754,0.02031947],"genre_scores_gemma":[0.8778415,0.00001990312,0.1210251,0.0002096178,0.0001628335,0.0001382582,0.00004962287,0.00003525556,0.0005179175],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7707288,"threshold_uncertainty_score":0.3441249,"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."}}