{"id":"W2144135680","doi":"10.1109/saso.2008.64","title":"Load Shifting Agents for Automated Demand Side Management in Micro Energy Grids","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Bidding; Computer science; Automation; Grid; Energy management; Smart grid; Energy market; Process (computing); Negotiation; Load management; Energy (signal processing); Electricity; Microeconomics; Economics; Engineering; 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":[0.0003815819,0.0002876982,0.0002671795,0.0001606271,0.000330415,0.0007176512,0.0005377736,0.0004093461,0.003627103],"category_scores_gemma":[0.0007589589,0.0001614103,0.000139295,0.0001722039,0.000254061,0.0007398186,0.0004569377,0.0005956889,0.000713473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230384,"about_ca_system_score_gemma":0.0003807458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100372,"about_ca_topic_score_gemma":0.001659371,"domain_scores_codex":[0.9997484,0.00008719377,0.00001384797,0.00003403211,0.00009147733,0.00002502691],"domain_scores_gemma":[0.9995846,0.0001883492,0.00007489683,0.00006710451,0.00005975227,0.00002528825],"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":[0.0005752547,0.0004719459,0.002482922,0.0001909343,0.00006003668,0.0004373055,0.0004021223,0.5237727,0.05578816,0.1027804,0.006734806,0.3063034],"study_design_scores_gemma":[0.00004847136,0.0000702796,0.000328176,0.000007499272,0.00001257276,0.00006243773,0.00003993801,0.9642486,0.009731308,0.01346665,0.01197229,0.00001169725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07526661,0.0003534172,0.9087545,0.0004578856,0.000134819,0.0001741914,0.00005643148,0.001628529,0.01317358],"genre_scores_gemma":[0.8590524,0.0001474408,0.1336758,0.0001092734,0.00004957056,0.0001318438,0.00005152026,0.00007370153,0.006708438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003627103,"threshold_uncertainty_score":0.01213384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452795526844,"score_gpt":0.2170407692740991,"score_spread":0.2025128140056591,"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."}}