{"id":"W2744241643","doi":"10.1109/cjece.2016.2583923","title":"Energy Trading in the Smart Grid: A Distributed Game-Theoretic Approach","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Renewable energy; Grid; Electricity; Energy (signal processing); Distributed generation; Game theory; Convergence (economics); Distributed computing; Order (exchange); Mathematical optimization; Microeconomics; Business; Economics; Engineering; Electrical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001987313,0.000138085,0.0001902479,0.0002394456,0.00008314494,0.0002182318,0.0004392009,0.00004820912,0.000002819434],"category_scores_gemma":[0.00002493965,0.0001103711,0.00005482724,0.0001510765,0.00002882431,0.0001226869,0.00001384762,0.0002739701,2.660351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036224,"about_ca_system_score_gemma":0.00003381963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002752208,"about_ca_topic_score_gemma":0.0002039505,"domain_scores_codex":[0.9992173,0.00001666359,0.0002242528,0.00009071274,0.0001044205,0.0003466615],"domain_scores_gemma":[0.9994721,0.00005915274,0.00003972598,0.0001787565,0.00001737545,0.0002328606],"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":[0.000007449104,0.0000255692,0.004151324,0.0000842086,0.0001806189,0.0007430169,0.0005344374,0.9198845,0.00005677854,0.04182794,0.005890709,0.02661345],"study_design_scores_gemma":[0.0002512098,0.00004557445,0.02399336,0.00003494509,0.00001543449,0.0002243836,0.000005913224,0.9614632,0.00002773704,0.0002031799,0.01358948,0.000145563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1726647,0.001622227,0.8232694,0.0002856148,0.001081796,0.0000728985,0.00000402395,0.00003505989,0.0009643039],"genre_scores_gemma":[0.9987327,0.00004967159,0.0006716697,0.00005281636,0.0004669676,0.000003888659,0.00000224392,0.00001695092,0.000003127341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.826068,"threshold_uncertainty_score":0.4500801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006182305367519883,"score_gpt":0.1577377842926147,"score_spread":0.1515554789250948,"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."}}