{"id":"W2045976629","doi":"10.1109/wcsp.2011.6096965","title":"Energy efficient communication networks design for demand response in smart grid","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Computer science; Demand response; Computer network; Wireless; Distributed computing; Telecommunications network; Network packet; Energy consumption; Communications system; Power control; Packet loss; Power (physics); Telecommunications; Engineering; Electricity; 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":[0.0004508385,0.0004216057,0.0003225967,0.0002983544,0.0003949677,0.000861556,0.0006421522,0.0007328916,0.002232694],"category_scores_gemma":[0.001082795,0.0002741484,0.0001859077,0.00041703,0.0003356882,0.0009820299,0.0003902633,0.0005365586,0.0005272449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009665655,"about_ca_system_score_gemma":0.0006445663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291113,"about_ca_topic_score_gemma":0.002385452,"domain_scores_codex":[0.999606,0.0001594715,0.00001516835,0.00005880123,0.0001324476,0.00002832778],"domain_scores_gemma":[0.9996542,0.0001071858,0.00005041785,0.00003205955,0.0001453534,0.00001083643],"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":[0.00006888769,0.00004827236,0.0003164693,0.0002212181,0.00002644229,0.0001268821,0.0001286014,0.7039198,0.01579342,0.1878356,0.004314297,0.08720009],"study_design_scores_gemma":[0.00001196122,0.00005170146,0.00009722884,0.00002289782,0.00001385229,0.00006183737,0.00003372946,0.9608795,0.00284127,0.02489916,0.01107774,0.000009216725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008906249,0.0007960371,0.9795268,0.0004758033,0.00009477072,0.00007397734,0.00003434732,0.0001437694,0.009948215],"genre_scores_gemma":[0.7440426,0.002616817,0.2374928,0.0003046773,0.000217746,0.0004740813,0.0001215978,0.0001049119,0.01462479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002232694,"threshold_uncertainty_score":0.007469118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725963643846009,"score_gpt":0.2027841917288709,"score_spread":0.1755245552904108,"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."}}